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1

Implementation of a cascaded fuzzy sliding mode control of hybrid power filter

Bessadet Ibtissam, Tedjini Hamza, Bousserhane Ismail Khalil

Przegląd Elektrotechniczny

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2023

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R. 99, nr 6

74--79

EN

This paper provides an experimental analysis of a non-linear load-based disturbed system. The shunt hybrid power filter is proposed to avoid propagating the non-linear load-based harmonic current and giving compensation for reactive power. shunt hybrid power filter is a combination of a small-rating active power filter and a passive 5th, 7th harmonic tuned LC filter. In order to control a power shunt hybrid filter to minimize the total harmonic distortion, we use active and reactive instant power theory. In this article, we use the controller PI control technique in the first section and the second part, we use the flow logic and mode control sliding through the device, and we compared a theme. The output of shunt hybrid filter in reducing harmonic distortions and compensating for reactive power is defined in the experimental results. Through this research paper, we conclude that this type of hybrid filter had a significant role in reducing the THD ratio from 29 to 3.7.

PL

W artykule przedstawiono eksperymentalną analizę nieliniowego układu zaburzonego opartego na obciążeniu. Zaproponowano bocznikowy hybrydowy filtr mocy, aby uniknąć propagacji nieliniowego prądu harmonicznego opartego na obciążeniu i zapewnić kompensację mocy biernej. Hybrydowy filtr mocy bocznikowej jest kombinacją aktywnego filtra mocy o niskiej wartości znamionowej i pasywnego filtra LC dostrojonego do piątej i siódmej harmonicznej. Aby kontrolować hybrydowy filtr bocznikowy mocy w celu zminimalizowania całkowitego zniekształcenia harmonicznych, stosujemy teorię mocy czynnej i biernej chwilowej mocy. W tym artykule używamy techniki sterowania kontrolerem PI w pierwszej sekcji, a w drugiej części używamy logiki przepływu i sterowania trybem przesuwania się przez urządzenie i porównaliśmy motyw. Wydajność bocznikowego filtru hybrydowego w redukcji zniekształceń harmonicznych i kompensacji mocy biernej jest określona w wynikach eksperymentalnych. Na podstawie tej pracy badawczej dochodzimy do wniosku, że ten typ filtra hybrydowego odegrał znaczącą rolę w zmniejszeniu współczynnika THD z 29 do 3,7.

2

Research on the mill feeding system of an elastic variable universe fuzzy control based on particle swarm optimization algorithm

Tian Niu, Huang Songwei, He Lifang, Du Lingpan, Yang Sheping, Huang Bin

Physicochemical Problems of Mineral Processing

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2023

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Vol. 59, iss. 3

art. no. 169942

EN

The grinding process in the concentrator is a part of the largest energy consumption, but also the most likely to cause a waste of resources, so the optimization of the grinding process is a very important link.The traditional fuzzy controller relies solely on the expert knowledge summary to construct control rules, which can cause significant steady-state errors in the model. In order to solve the above problem, this paper proposes an elastic variable universe fuzzy control based on Particle Swarm Optimization (PSO) algorithm. The elastic universe fuzzy control model does not need precise fuzzy rules, but only needs to input the general trend of the rules, and the division of the universe is performed by the contraction-expansionfactor. The control performance is directly related to the contraction-expansionfactor, so this article also proposes using particle swarm optimization to optimize the scaling factor to achieve the optimal value. Finally, simulation models of traditional fuzzy control and elastic universe fuzzy control of feeding system of mill were built using Python to verify the control effect. Itssimulation results show that the time of the reaction of the fuzzy control system in the elastic variable theory universe based on particle swarm optimization was shorter by 34.48% comparing to the traditional one. Elastic variable universe fuzzy control based on particle swarm optimization (PSO) effectively improved the control accuracy of the mill feeding system and improved the response speed of the system to a certain extent.

3

Obstacle avoidance method of autonomous vehicle based on fusion improved A*APF algorithm

Qian Yubin, Sun Hongtao, Feng Song

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2023

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Vol. 71, nr 2

art. no. e144624

EN

This paper proposes an autonomous obstacle avoidance method combining improved A-star (A*) and improved artificial potential field (APF) to solve the planning and tracking problems of autonomous vehicles in a road environment. The A*APF algorithm to perform path planning tasks, and based on the longitudinal braking distance model, a dynamically changing obstacle influence range is designed. When there is no obstacle affecting the controlled vehicle, the improved A* algorithm with angle constraint combined with steering cost can quickly generate the optimal route and reduce turning points. If the controlled vehicle enters the influence domain of obstacle, the improved artificial potential field algorithm will generate lane changing paths and optimize the local optimal locations based on simulated annealing. Pondering the influence of surrounding participants, the four-mode obstacle avoidance process is established, and the corresponding safe distance condition is analyzed. A particular index is introduced to comprehensively evaluate speed, risk warning, and safe distance factors, so the proposed method is designed based on the fuzzy control theory. In the tracking task, a model predictive controller in the light of the kinematics model is devised to make the longitudinal and lateral process of lane changing meet comfort requirements, generating a feasible autonomous lane-change path. Finally, the simulation was performed in the Matlab/Simulink and Carsim combined environment. The proposed fusion path generation algorithm can overcome the shortcomings of the traditional single method and better adapt to the dynamic environment. The feasibility of the obstacle avoidance algorithm is verified in the three-lane simulation scenario to meet safety and comfort requirements.

4

Fuzzy logic-based control strategy for hourly power dispatch of grid-connected photovoltaic with hybrid energy storage

Jusoh Mohd Afifi, Daud Muhamad Zalani, Ibrahim Mohd Zamri

Przegląd Elektrotechniczny

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2022

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R. 98, nr 1

11--18

EN

The inconsistency of solar irradiance and temperature have led to unpredictable output power fluctuation of photovoltaic (PV) system. This paper proposes a simple control scheme for hybrid energy storage (HES) system to mitigate the long-term and short-term output power fluctuations of the PV system. The proposed control scheme employed the fuzzy logic controller in order to manage the power compensation of the HES system and to maintain the state-of-charge (SOC) level of the HES system within safe operating limits during the mitigation process. In the control scheme, the long-term output power fluctuation is eliminated by using battery energy storage, while short-term output fluctuation is compensated using the ultracapacitor. Apart from that, an hourly PV power dispatch was applied in the control scheme since the grid-connected PV system was considered in this study. The simulation evaluations of PV/HES with the proposed control scheme was conducted in the MATLAB/Simulink environment. The effectiveness of the proposed control scheme was verified through several case studies. Initially, the control scheme was evaluated with different initial SOC levels of HES. Then, the control scheme was evaluated using five days of actual PV system output in order to verify the robustness of the proposed control scheme in actual circumstances. Overall, the simulation evaluation was verified that the proposed control scheme of the PV/HES system effectively mitigates the output power fluctuations of the PV system and output power is dispatched out to the utility grid on an hourly basis. Also, it was able to regulate the SOC of HES at the operational limit throughout the process. The simulation result showed the control scheme successfully reduced the unacceptable output power fluctuation from 20% to less than 1%. The results also showed the SOC of HES was regulated within the range of 38%-75% and 42%-60% of its capacity along the process, respectively.

PL

Niespójność natężenia promieniowania słonecznego i temperatury doprowadziła do nieprzewidywalnych wahań mocy wyjściowej systemu fotowoltaicznego (PV). W niniejszym artykule zaproponowano prosty schemat sterowania hybrydowym systemem magazynowania energii (HES) w celu złagodzenia długo- i krótkoterminowych wahań mocy wyjściowej systemu fotowoltaicznego. Zaproponowany schemat sterowania wykorzystywał sterownik logiki rozmytej w celu zarządzania kompensacją mocy systemu HES i utrzymania poziomu stanu naładowania (SOC) systemu HES w bezpiecznych granicach operacyjnych podczas procesu mitygacji. W schemacie sterowania długoterminowe wahania mocy wyjściowej są eliminowane przez zastosowanie magazynowania energii akumulatora, podczas gdy krótkotrwałe wahania mocy wyjściowej są kompensowane za pomocą ultrakondensatora. Poza tym w schemacie sterowania zastosowano godzinową dyspozytornię mocy fotowoltaicznej, ponieważ w niniejszym opracowaniu uwzględniono system fotowoltaiczny podłączony do sieci. Oceny symulacyjne PV/HES z proponowanym schematem sterowania przeprowadzono w środowisku MATLAB/Simulink. Skuteczność proponowanego schematu kontroli zweryfikowano za pomocą kilku studiów przypadku. Początkowo schemat kontroli oceniano przy różnych początkowych poziomach SOC HES. Następnie schemat sterowania został oceniony przy użyciu pięciu dni rzeczywistej mocy wyjściowej systemu fotowoltaicznego w celu zweryfikowania niezawodności proponowanego schematu sterowania w rzeczywistych warunkach. Ogólnie rzecz biorąc, ocena symulacji została zweryfikowana, że proponowany schemat sterowania systemem PV/HES skutecznie łagodzi wahania mocy wyjściowej systemu fotowoltaicznego, a moc wyjściowa jest wysyłana do sieci energetycznej co godzinę. Ponadto był w stanie regulować SOC HES na limicie operacyjnym podczas całego procesu. Wyniki symulacji wykazały, że schemat sterowania skutecznie zmniejszył niedopuszczalne wahania mocy wyjściowej z 20% do mniej niż 1%. Wyniki pokazały również, że SOC HES był regulowany w zakresie odpowiednio 38%-75% i 42%-60% jego pojemności w trakcie procesu.

5

Robust H∞ fuzzy approach design via Takagi‐Sugeno descriptor model. application for 2‐DOF serial manipulator tracking control

Thi Van Anh Nguyen, Pham Duc Binh, Nguyen Danh Huy, Nguyen Tung Lam

Journal of Automation Mobile Robotics and Intelligent Systems

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2022

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Vol. 16, No. 3

22--29

EN

This paper focuses on trajectory tracking control for ro‐ bot manipulators. While much research has been done on this issue, many other aspects of this field have not been fully addressed. Here, we present a new solution using feedforward controller to eliminate parametric uncer‐ tainties and unknown disturbances. The Takagi‐Sugeno fuzzy descriptor system (TSFDS) is chosen to describe the dynamic characteristics of the robot. The combination of this fuzzy system and the robust H∞ performance makes the system almost isolated from external factors. The li‐ near matrix inequalities based on the theory of Lyapunov stability is considered for control design. The proposed method has proven its effectiveness through simulation results.

6

EMG-controlled hand exoskeleton for assisted bilateral rehabilitation

De la Cruz-Sánchez Berith Atemoztli, Arias-Montiel Manuel, Lugo-González Esther

Biocybernetics and Biomedical Engineering

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2022

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Vol. 42, no. 2

596--614

EN

This article presents an electromyography (EMG) controlled hand exoskeleton for basic movements in assisted bilateral therapy, where bimanual work is required by the user. The target users are individuals with the right hand affected by an accident or cerebrovascular problems which require passive or assisted rehabilitation. Through a Matlab GUI, the system receives, processes and classifies electromyographic signals from the user acquired by a MYO armband obtaining an accuracy of 81.2% using k-Nearest Neighbors (kNN) as the classification algorithm and Random Subset Feature Selection (RSFS) as the feature selection algorithm. Subsequently, the exoskeleton reproduces the movement detected in the user’s opposite hand. The exoskeleton prototype is 8 degrees of freedom (DOF), built using 3D printing and has independent movement of the fingers. The movement controller is based on fuzzy logic. For the system performance analysis, kinematic information from a motion capture system is used to compare the trajectories in different grasping tasks of a user’s hand with and without the exoskeleton with a maximum error of 10.63% and a minimum of 3.46% with the desired final position, which physically represents a difference of 1.89° and 0.07° respectively.

7

A numerically efficient fuzzy MPC algorithm with fast generation of the control signal

Marusak Piotr M.

International Journal of Applied Mathematics and Computer Science

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2021

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Vol. 31, no. 1

59--71

EN

Model predictive control (MPC) algorithms are widely used in practical applications. They are usually formulated as optimization problems. If a model used for prediction is linear (or linearized on-line), then the optimization problem is a standard, i.e., quadratic, one. Otherwise, it is a nonlinear, in general, nonconvex optimization problem. In the latter case, numerical problems may occur during solving this problem, and the time needed to calculate control signals cannot be determined. Therefore, approaches based on linear or linearized models are preferred in practical applications. A novel, fuzzy, numerically efficient MPC algorithm is proposed in the paper. It can offer better performance than the algorithms based on linear models, and very close to that of the algorithms based on nonlinear optimization. Its main advantage is the short time needed to calculate the control value at each sampling instant compared with optimization-based numerical algorithms; it is a combination of analytical and numerical versions of MPC algorithms. The efficiency of the proposed approach is demonstrated using control systems of two nonlinear control plants: the first one is a chemical CSTR reactor with a van de Vusse reaction, and the second one is a pH reactor.

8

Digital Real-Time Rotating Speed Measuring and Fuzzy PID Control Algorithm Design for the Multi-Speed Electronic Let-Off System

Ren Wen, Wen Xia, Lai Sencai

Fibres & Textiles in Eastern Europe

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2021

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Vol. 29, no. 4 (148)

48--55

EN

Aiming at the warp knit fabric horizontal strip problem faced by the multi-speed electronic let-off process of warp knitting machines, a design scheme of a fully digital intelligent multi-speed electronic system is proposed. A wide-range digital speed measurement method is proposed which solves the problem that the traditional analog circuit speed measurement method cannot measure the real-time warp beam speed, and also eliminates the problem of the low-speed feedback blind zone. According to the characteristics of the electronic let-off system of warp knitting machines, the hardware structure and software algorithm of the fuzzy PI control system were designed which can adjust the control parameters of the traditional PI controller in real time according to the fuzzy control table, and realise stable multi-speed electronic let-off. The effectiveness of the design method was verified by simulation.

PL

Mając na celu rozwiązanie problemu poziomych pasków dzianiny osnowowej, z którym boryka się wielobiegowy, elektroniczny proces wypuszczania osnowowych maszyn dziewiarskich, zaproponowano schemat projektowy w pełni cyfrowego, inteligentnego, wielobiegowego systemu elektronicznego. Zaproponowano szeroko zakresową cyfrową metodę pomiaru prędkości, która rozwiązuje problem polegający na tym, że tradycyjna metoda pomiaru prędkości obwodu analogowego nie może mierzyć prędkości wiązki odkształcenia w czasie rzeczywistym, a także eliminuje problem martwej strefy sprzężenia zwrotnego przy niskiej prędkości. Zgodnie z charakterystyką elektronicznego systemu wypuszczania maszyn dziewiarskich osnowowych zaprojektowano strukturę sprzętową i algorytm programowy systemu sterowania rozmytego PI, który może dostosowywać parametry sterowania tradycyjnego regulatora PI w czasie rzeczywistym zgodnie z rozmytą tabelą sterowania i zrealizować stabilne elektroniczne wyzwalanie z wieloma prędkościami. Skuteczność metody projektowania zweryfikowano za pomocą symulacji.

9

Fault tolerant control of wind turbine via identified fuzzy models prototypes

Djoudi Habib Chaouki Ben, Hafaifa Ahmed, Djoudi Dalila, Guemana Mouloud

Diagnostyka

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2020

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Vol. 21, No. 3

3--13

EN

The main purpose of this study is the comparison of two control strategies of wind turbine 4.8 MW, using fuzzy control and proportional integral control, taking into account eight kinds of faults that can occur in a wind turbine model. A technique based on fault diagnosis has been used to detect and isolate faults actuators and sensors in this system, it's about an observer applied to the benchmark model. The obtained results are presented to validate the effectiveness of this diagnostic method and present the results of the proposed control strategies.

10

Multi motor neural PID relative coupling speed synchronous control

Zhang Yonglong, An Yuejun, Wang Guangyu, Kong Xiangling

Archives of Electrical Engineering

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2020

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Vol. 69, nr 1

69--88

EN

When the traditional multi-motor speed synchronous control strategy is applied to the vacuum pump system, it is prone to the drawbacks of large synchronization error. In this paper, a simplified mathematical model of the motor for a vacuum pump is established and the transfer function is introduced, which weakens the multivariable, strong coupling and nonlinear characteristics of the motor system. According to the basic principle of the relative coupling control strategy, the neural network Proportion Integration Differentiation (PID) is introduced as a speed compensator in this system. It effectively improves the synchronization and anti-interference ability of the multi motor

11

Modeling and control of multimachines system using fuzzy logic

Bessaad Taieb, Taleb Rachid, Benyoucef Djilali, Belboula Abdelkader

Przegląd Elektrotechniczny

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2019

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R. 95, nr 5

141--146

EN

This work is devoted to modeling and vector control by fuzzy logic of a multimachines system connected in series. A six-phase asynchronous machine connected in series with a three-phase asynchronous machine fed by a single inverter and controlled independently. Thanks to the powerful means of calculation, which made possible the control of such a system and this allows its integration in applications where the constraints of space and weight require a particular attention.

PL

W artykule opisano zastosowanie układu fuzzy logic do sterowania wielomaszynowym systemem sześciofazowej maszyny asynchronicznej I trójfazowej maszyny asynchronicznej polączonych szeregowo.Do sterowania każdej z maszyn użyto niezeleżnego przekształtnika.

12

Research on speed control of high-speed train based on multi-point model

Hou Tao, Guo Yang-yang, Niu Hong-xia

Archives of Transport

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2019

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Vol. 50, iss. 2

35--46

EN

The traditional train speed control research regards the train as a particle, ignoring the length of the train and the interaction force between carriages. Although this method is simple, the control error is large for high-speed trains with the characteristics of power dispersion. Moreover, in the control process, if the length of the train is not considered, when the train passes the slope point or the curvature point, the speed will jump due to the change of the line, causing a large control error and reducing comfort. In order to improve the accuracy of high-speed train speed control and solve the problem of speed jump when the train runs through variable slope and curvature, the paper takes CRH3 EMU data as an example to establish the corresponding multi-point train dynamics model. In the control method, the speed control of high-speed train needs to meet the fast requirement. Comparing the merits and demerits of classical PID control, fuzzy control and fuzzy adaptive PID control in tracking the ideal running curve of high-speed train, this paper chooses the fuzzy adaptive PID control with fast response. Considering that predictive control can predict future output, a predictive fuzzy adaptive PID controller is designed, which is suitable for high-speed train model based on multi-point. The simulation results show that the multi-point model of the high-speed train can solve the speed jump problem of the train when passing through the special lines, and the predictive fuzzy adaptive PID controller can control the speed of the train with multi-point model, so that the train can run at the desired speed, meeting the requirements of fast response and high control accuracy.

13

Fuzzy logic PID control of a PMDCM speed connected to a 10-kW DC PV array microgrid - case study

Tudoroiu Roxana-Elena, Zaheeruddin Mohammed, Tudoroiu Nicolae, Burdescu Dumitru Dan

Annals of Computer Science and Information Systems

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2019

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Vol. 18

359–-362

EN

The main objective of this paper is focused on the real time implementation in a MATLAB/SIMULINK environment of a closed-loop hybrid control strategy structure consisting of a combination of Fuzzy Logic control approach and a standard PID control strategy. This strategy is applied to control the speed of a 2 HP 1750 rpm permanent magnet DC motor used in a wide range of HVAC applications. The novelty of the paper is the new modeling approach by using SIMULINK SIMSCAPE library blocks, more practical due to its simplicity, easier and faster to implement and, in particular, very easy to practice for MATLAB users compared to a traditional modelling approach. The DC motor can be powered by a unidirectional DC voltage converter connected to a 10 kW-Microgrid PV array or directly from a Li-Ion battery or a Supercapacitor, both connected via two bidirectional DC boost-buck converters to the same Microgrid. The Microgrid energy storage system is suitable for renewable energy applications that are connected to a local grid, thus releasing the overloaded national grid, saving a considerable amount of energy and drastically reducing the energy costs.

14

Design of an optimal fuzzy controller of an under-actuated manipulator based on teaching-learning-based optimization

Mahmoodabadi Mohammad Javad, Yazdizadeh-Baghini Amineh

Acta Mechanica et Automatica

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2019

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Vol. 13, no. 3

166--172

EN

In this paper, an optimal fuzzy controller based on the Teaching-Learning-Based Optimization (TLBO) algorithm has been presented for the stabilization of a two-link planar horizontal under-actuated manipulator with two revolute (2R) joints. For the considered fuzzy control method, a singleton fuzzifier, a centre average defuzzifier and a product inference engine have been used. The TLBO algorithm has been implemented for searching the optimum parameters of the fuzzy controller with consideration of time integral of the absolute error of the state variables as the objective function. The proposed control method has been utilized for the 2R under-actuated manipulator with the second passive joint wherein the model moves in the horizontal plane and friction forces have been considered. Simulation results of the offered control method have been illustrated for the stabilization of the considered robot system. Moreover, for different initial conditions, the effectiveness and the robustness of the mentioned strategy have been challenged.

15

A fuzzy model for team control and its application

Lambovska M.

Management and Production Engineering Review

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2018

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Vol. 9, No. 3

108--119

EN

An original fuzzy team control model is presented in this article. The model is based on a non-traditional combination of classical and contemporary achievements of management and mathematical theories of fuzzy logic and fuzzy sets. In methodological terms, the article also offers a set of tools for measuring and evaluating both team performance and the effectiveness of the team control system in the organization. Fuzzy tools and techniques for decision-making, studying of hidden effects and joint influences, and quantification of evaluations are employed in this set of tools. The suggested fuzzy model contributes to overcoming theoretical deficits on the issues of team control, and the methodology of team control fills a gap in the toolkit of team management. The results from verification of the fuzzy team control model at a small-sized Bulgarian enterprise are also discussed in this article. They indicate that it is possible to develop a fuzzy model for team control, increasing the effectiveness of the team control system in the enterprise.

16

Metody sterowania inteligentnego w oprogramowaniu LabVIEW

Lisowski J., Sokołowski Ł.

Zeszyty Naukowe Akademii Morskiej w Gdyni

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2017

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nr 98

131--138

PL

W pracy przedstawiono zasady i przykłady trzech najczęściej stosowanych metod sterowania inteligentnego z wykorzystaniem zestawu narzędziowego ICTL (Intelligent Control Toolkit for LabVIEW) – regulatora rozmytego fuzzy logic FLC, regulatora neuronowo-rozmytego NF oraz programowania genetycznego GA.

EN

The paper presents the principles and examples of the three most commonly used methods of intelligent control using the toolkit ICTL (Intelligent Control Toolkit for LabVIEW) – fuzzy controller FLC fuzzy logic, neuro-fuzzy regulator NF and genetic programming GA.

17

Defuzzification with optimal representation method

Piegat A., Tomaszewska M.

Przegląd Elektrotechniczny

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2017

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R. 93, nr 1

108--111

EN

Though the number of existing defuzzification methods is considerable, scientists further work on the new methods trying to elaborate more perfect ones and eliminate imperfection and weak-points of existing methods. The paper proposes a new defuzzification method, which in the authors opinion, has chances for scientific acknowledgement because it is based on a new approach. In this method there is no aggregation of activated rule conclusions as in many other methods. Instead of aggregation, the method determines the best, optimal fuzzy representation of the activated conclusions and then finds the optimal crisp representation. The main advantage of the proposed method is simplicity of calculations.

PL

Choć liczba istniejących metod defuzyfikacji jest znaczna, naukowcy prowadzą dalsze prace nad nowymi metodami, starając się opracować bardziej doskonałe i wyeliminować niedoskonałości istniejących już metod. W pracy zaproponowano nową metodę defuzyfikacji, która w opinii autorów, ma szanse zdobycia uznania w środowisku naukowym, ponieważ pokazuje zupełnie nowe podejście. W sposobie tym nie ma agregacji zaktywowanych reguł wnioskowych tak jak w wielu innych metodach. Zamiast agregacji, metoda wyznacza najlepszą, optymalną rozmytą reprezentację aktywowanych wniosków, a następnie znajduje optymalną punktową reprezentację. Główną zaletą proponowanej metody jest prostota obliczeń.

18

Fuzzy-Lyapunov based controller for a quadrocopter

Kusznir T., Smoczek J.

Journal of KONES

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2017

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Vol. 24, No. 4

125--132

EN

Quadrocopters are nonlinear and inherently unstable systems. To be able to account for the nonlinearities during more aggressive manoeuvres nonlinear control methods need to be utilized to obtain the desired position while at the same time guaranteeing stability. In the article, the quadrocopter dynamics is modelled using the Newton-Euler method. The propeller aerodynamics is modelled using a combination of momentum theory and blade element theory. There are two different control objectives; the 1st objective requires the quadrocopter to reach a desired attitude set point using, while the 2nd objective requires the quadrocopter to track an attitude trajectory. In both cases, Lyapunov stability criterion, in conjunction with LaSalle’s invariance principle, is used to guarantee the system becomes asymptotically stable. In the case of reaching the desired attitude set point, a direct Lyapunov control method is implemented with the control constants determined empirically. For the trajectory tracking, limited knowledge is assumed on the system dynamics and the Mamdani fuzzy controller is used with a rule base that satisfy the Lyapunov stability criterion. The fuzzy membership functions developed empirically and a centre of gravity defuzzification method is used. All simulations are done in MATLAB/Simulink. The results of the numerical simulation are presented in the article.

19

Intelligent system for the two-phase flows diagnosis and control on the basis of raw 3D ECT data

Fiderek P., Jaworski T., Banasiak R., Nowakowski J., Kucharski J., Wajman R.

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

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2017

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T. 7, nr 1

17--23

EN

In this paper the new intelligent system for two-phase flows diagnosis and control is presented. The authors developed a fuzzy inference system for two phase flows recognition based on the raw 3D ECT data statistical analysis and fuzzy classification which identify the flow structure in real-time mode. The non-invasive three-dimensional monitoring is possible to conduct even in non-transparent and non-accessible parts of the pipeline. Presented system is also equipped with the two phase gas-liquid flows installation control module based on fuzzy inference which includes the feedback information from the recognition module. The intelligent control module working in a feed-back loop keep the sets of required flow regime. Presented in this paper fuzzy algorithms allow to recognize the two phase processes similar to the human expert and to control the process in the same, very intuitively way. Using of the artificial intelligence in the industrial applications allows to avoid any random errors as well as breakdowns and human mistakes suffer from lack of objectivity. An additional feature of the system is a universal multi-touched monitoring-control panel which is an alternative for commercial solution and gives the opportunity to build user own virtual model of the flow rig to efficiently monitor and control the process.

PL

W artykule zaprezentowany został inteligentny system diagnostyki i sterowania przepływami dwufazowymi gaz-ciecz. Autorzy opracowali rozmyty system wnioskowania oparty o statystyczną analizę i klasyfikację rozmytą surowych danych pomiarowych 3D ECT realizujący w czasie rzeczywistym identyfikację struktury przepływu oraz wyznaczanie objętościowego udziału faz. Nieinwazyjny trójwymiarowy monitoring przepływu możliwy jest w nieprzezroczystych i trudno dostępnych fragmentach rurociągów w czasie rzeczywistym. Prezentowany system wyposażony jest również w moduł sterowania instalacją w oparciu o wnioskowanie rozmyte, któremu na wejście podawane są informacje zwrotne od modułu rozpoznawania. Inteligentny regulator rozmyty pracujący w pętli sprzężenia zwrotnego utrzymuje żądane nastawy parametrów przepływu w oparciu o zadany reżim przepływu. Przedstawione w niniejszym opracowaniu algorytmy rozmyte umożliwiają identyfikację procesów dwu-fazowych w sposób analogiczny do tego, jak to robią specjaliści oraz jednocześnie pozwalają kontrolować proces w ten sam bardzo intuicyjny sposób. Zastosowanie sztucznej inteligencji w aplikacjach przemysłowych pozwala uniknąć przypadkowych ludzkich błędów podatnych na brak obiektywizmu, a także zapobiegać awarii. Cechą dodatkową systemu jest uniwersalny dotykowy panel monitorująco-sterujący stanowiący alternatywę dla drogich komercyjnych rozwiązań umożliwiający budowanie wirtualnego modelu instalacji, aby w szybki i skuteczny sposób móc ją monitorować i nią sterować.

20

Fuzzy adaptive control of nonlinear two-mass system

Wróbel K.

Power Electronics and Drives

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2016

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Vol. 1 (36), No. 2

133--146

EN

In the paper, an adaptive control MRAS-based structure for nonlinear two-mass system is proposed. The performance of the control structure is supported by additional compensator. After short introduction a mathematical model of the drive system is presented. In the plant, the additional nonlinearities such as friction and mechanical hysteresis are considered. Then the structure of the fuzzy system is shown. Contrary to the majority of papers the controller considered is based on the II type fuzzy sets. Then the simulation tests showing performance of the proposed structure are presented. The drive is tested at different operation points, including low-speed region where friction plays dominant role. A comparison of classical PI controller with antiwindup and the proposed structure is presented. Then laboratory set-up with DC motor is described briefly. Experimental results are included in the paper. It is shown that the torsional vibrations of two-mass system are damped effectively. The impact of the existing delays of system is discussed. A summary is given at the end of the paper.