This paper proposed the speed control of brushless dc motor using PWM technique. In this study, we use a 16-bit Digital Signal Controller dspic30f4011 and the IRAMY20UP60B Intelligent Power Module as an inverter. In the proposed system three phase trapezoidal voltage is formed with six pulses signals generating using integrated PWM module of the dsPIC. The rotation speed control is constituted with the Proportional-Integral (PI) controller. The experimental results are wisely studied to prove that our proposed control and IPM inverter acquire a high performance to control the speed of the BLDC motor.
PL
W artykule zaproponowano sterowanie prędkością obrotową bezszczotkowego silnika prądu stałego (BLDC) z wykorzystaniem modulacji PWM. Jako układ sterowania zastosowana 16-bitowy cyfrowy kontroler dspic30f4011, a jako falownik (komutator elektroniczny) wykorzystano inteligentny moduł mocy (IPM) IRAMY20UP60B. W proponowanym układzie trójfazowe napięcie trapezowe jest formowane za pomocą sześciu sygnałów generowanych za pomocą zintegrowanego modułu PWM układu dspic. Sterowanie prędkością obrotową jest realizowane za pomocą regulatora proporcjonalno-całkującego (PI). Wyniki eksperymentów potwierdzają, że proponowany przez nas układ sterowania i falownik IPM wykazuje wysoką wydajność do sterowania prędkością obrotową silników BLDC.
The paper is a structured, in-depth analysis of dual active bridge modeling. In the research new, profound dual active bridge converter (DAB) circuit model is presented. Contrary to already described idealized models, all critical elements including numerous parasitic components were described. The novelty is the consideration of a threshold voltage of diodes and transistors in the converter equations. Furthermore, a lossy model of leakage inductance in an AC circuit is also included. Based on the circuit equations, a small-signal dual active bridge converter model is described. That led to developing control of the input and output transfer function of the dual active bridge converter model. The comparison of the idealized model, circuit simulation (PLECS), and an experimental model was conducted methodically and confirmed the high compatibility of the introduced mathematical model with the experimental one. Proposed transfer functions can be used when designing control of systems containing multiple converters accelerating the design process, and accurately reproducing the existing systems, which was also reported in the paper.
This research presents a combination of artificial neural network (ANN) with the grey wolf optimizer (GWO) to improve the power quality of a grid-connected distributed power generation system (DPGS). To assess the effectiveness of the proposed algorithm, a grid-tied of small-scale wind energy conversion system (WECS) is chosen. The term power quality refers to voltage and frequency regulation, and limited harmonics. Power quality improvement is achieved through the cascaded control system's optimal tuning of three proportional-integral (PI) controllers of the grid-side inverter (GSI). However, because the DPGS model is computationally costly, the Artificial Neural Network (ANN) model is utilized as an alternative model for DPGS. Furthermore, the ANN model is employed in conjunction with the GWO to boost the optimization precision and minimize the execution time of GWO. The considered power system was repetitively simulated to obtain the input-output datasets, which validate and train the ANN model. According to the ANN model's performance evaluation, the correlation coefficient (R) is close to one, while the mean squared error (MSE) is near zero. These findings demonstrate the ANN model's great accuracy in approximating the DPGS model. Using MATLAB/Simulink, the system's performance is evaluated using the optimum values obtained using GWO-ANN for various wind speed profiles. It showed the suggested power quality method’s improved stability, convergence behavior, the effectiveness of the control mechanism, and the robustness of the proposed topology.
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This paper presents the design of a Proportional-Integral (PI) controller using the Programmable Logic Controller (PLC) techniques to control the temperature of water heated by oil fired heaters that are much used in Iraq. Our laboratory work consists of hardware part: the LOGO! V6 PLC, the thermostat, the analogue output valve and the oil fired water heater with its accessories while the software part includes Function Block Diagram (FBD) programming language of our PLC. The P and I parameters are found manually and their roles are also discussed in this paper. The designed control system can serve a precise way to control physical parameters within a desired range in the laboratory. In this paper, the authors focus on how the PI controller measures the temperature of the heated water in the oil fired heater and controls the aperture of the analog valve which controls the flow rate of the oil from the tank to the furnace of the heater according to the measured temperature.
PL
W artykule przedstawiono projekt sterownika proporcjonalno-całkującego (PI) wykorzystującego techniki programowalnego sterownika logicznego (PLC) do kontrolowania temperatury wody podgrzewanej przez grzejniki olejowe, które są powszechnie używane w Iraku. Praca laboratoryjna składa się z części sprzętowej: LOGO! V6 PLC, termostatu, zawóru wyjścia analogowego i podgrzewacza wody wraz z akcesoriami. Część oprogramowania zawiera blok funkcyjny Diagram (FBD) język programowania naszego PLC. W tym artykule autorzy skoncentruj się na tym, jak regulator PI mierzy temperaturę podgrzanej wody w nagrzewnicy olejowej i steruje otworem zaworu analogowego, który steruje przepływem oleju ze zbiornika do paleniska nagrzewnicy zgodnie ze zmierzoną temperą.
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This paper presents the design for control system and Implementation of a DSP TMS320F28335 Based State Feedback with Optimal Design of PI Controller for control Speed of BLDC Motor by genetic algorithm (GA), particle swarm optimization (PSO) and Ant Colony Optimization (ACO) for comparison the control Speed of BLDC Motor System. The experimental results show that Optimal Design of PI controller is the ACO controller, was able to control speed of BLDC motor. In load and non-load condition, control system can maintain the level of speed in steady state. According to the responses of the reference signal, this can be concluded that controlling speed round using an ACO controller is highly effective in controlling the speed of BLDC motor.
PL
W artykule przedstawiono projekt systemu sterowania i implementację DSP TMS320F28335 opartego na sprzężeniu zwrotnym z optymalnym kontrolerem PI do sterowania prędkością silnika BLDC za pomocą algorytmu genetycznego (GA), optymalizacji roju cząstek (PSO) i optymalizacji kolonii mrówek (ACO) dla Porównanie kontroli prędkości systemu silnika BLDC. Wyniki eksperymentalne pokazują, że optymalną konstrukcją kontrolera PI jest kontroler ACO, który był w stanie kontrolować prędkość silnika BLDC. W warunkach obciążenia i bez obciążenia układ sterowania może utrzymać poziom prędkości w stanie ustalonym. Zgodnie z odpowiedziami sygnału odniesienia można stwierdzić, że sterowanie prędkością obrotową za pomocą kontrolera ACO jest wysoce skuteczne w sterowaniu prędkością silnika BLDC.
As the traffic volume from various Internet of things (IoT) networks increases significantly, the need for adapting the quality of service (QoS) mechanisms to the new Internet conditions becomes essential. We propose a QoS mechanism for the IoT gateway based on packet classification and active queue management (AQM). End devices label packets with a special packet field (type of service (ToS) for IPv4 or traffic class (TC) for IPv6) and thus classify them as priority for real-time IoT traffic and non-priority for standard IP traffic. Our AQM mechanism drops only non-priority packets and thus ensures that real-time traffic packets for critical IoT systems are not removed if the priority traffic does not exceed the maximum queue capacity. This AQM mechanism is based on the PIα controller with non-integer integration order. We use fluid flow approximation and discrete event simulation to determine the influence of the AQM policy on the packet loss probability, queue length and its variability. The impact of the long-range dependent (LRD) traffic is also considered. The obtained results show the properties of the proposed mechanism and the merits of the PIα controller.
The time delay element present in the PI controller brings dead-time compensation capability and shows improved performance for dead-time processes. However, design of robust time delayed PI controller needs much responsiveness for uncertainty in dead-time processes. Hence in this paper, robustness of time delayed PI controller has been analyzed for First Order plus Dead-Time (FOPDT) process model. The process having dead-time greater than three times of time constant is very sensitive to dead-time variation. A first order filter is introduced to ensure robustness. Furthermore, integral time constant of time delayed PI controller is modified to attain better regulatory performance for the lag-dominant processes. The FOPDT process models are classified into dead-time/lag dominated on the basis of dead-time to time constant ratio. A unified tuning method is developed for processes with a number of dead-time to time constant ratio. Several simulation examples and experimental evaluation are exhibited to show the efficiency of the proposed unified tuning technique. The applicability to the process models other than FOPDT such as high-order, integrating, right half plane zero systems are also demonstrated via simulation examples.
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This article presents the results of numerical research on the dumping of oscillatory phenomena occurring in the continuous bioethanol production process. Proportional and proportional-integral types of controllers were tested for this purpose. Numerical analysis showed that the appropriate selection of the Kc value makes it possible to suppress the oscillations in the system. The introduction of the integral term improves the performance of control system. Using numerical calculations, it was shown that the PI controller is effective at dumping the occurring oscillations. The presence of the integral term allows the reduction of the gain coefficient value. After the proper selection of parameters, the PI controller effectively supresses the oscillations present in the system.
PL
W niniejszym artykule zaprezentowano wyniki badań numerycznych, dotyczących tłumienia zjawisk oscylacyjnych występujących w procesie produkcji bioetanolu metodą ciągłą. Przebadano w tym celu regulator typu proporcjonalnego oraz proporcjonalno-całkującego. Analiza numeryczna wykazała, iż odpowiedni dobór wartości współczynnika wzmocnienia Kc umożliwia tłumienie zjawisk oscylacyjnych w układzie. Wykazano także, iż wprowadzenie członu całkującego poprawia jego działanie. Za pomocą obliczeń symulacyjnych wykazano, że regulator proporcjonalno-całkujący dobrze radzi sobie z tłumieniem występujących oscylacji. Obecność członu całkującego pozwala na zredukowanie wartości współczynnika wzmocnienia. Po odpowiednim doborze parametrów, regulator PI skutecznie tłumi obecne w układzie oscylacje.
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The technique of PI-controller tuning, which is based on a modification of the particle swarm optimization method, has been developed in the article. In order to take into account the most important quality indicators of plant controlling the complex criterion was developed. PI-controller tuning procedure has been reduced to the problem of criterion minimization. In the article, five benchmark transfer functions were used to estimate the technique. Comparative analysis with other well-known tuning techniques revealed the superiority of the proposed approach.
PL
W artykule przedtawiono metodę optymalizacji sterownika PI wykorzystującą algorytm rojowy. W artykule przedstawiono pięć rezultatów testów oraz porównanie tej metody z innymi powszechnie stosowanymi.
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In this paper, transient stability and voltage regulation have been studied using Fuzzy Logic (FL) and PI controller tuned by Bees Algorithm (BA). Both controllers applied to a Single Machine Infinite Bus (SMIB) power system equipped by Static Var Compensator (SVC) and small wind turbine. Transient stability has been evaluated using a relative rotor criteria and the Critical Clearing Time (CCT) which has been calculated for cases considered for different mechanical ratio. Voltage regulation has been improved using SVC controlled by PI controller which her. parameters have been optimized by Bees Algorithm (BA). Obtained results have been demonstrated a better performance with FL and PI controller which CCT has been increased and decreased considerably
PL
W artykule analizowano system energetyczny z dołączonymi turbinami wiatrowymi pod kątem stabilności i mozliwości sterowania napieciem. Do tego celu wukoprzystano logikę rozmytą I sterowniki PI strojony za pośrednictwem algorytmu rojowego. Stabilność była poprawiona dzięki zastosowaniu metody CCT – critical cleaning time.
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This paper presents a robust linear quadratic regulator with an integral action (LQR+i) designed for Z-source DC-DC converter (ZSC) operating in conduction continuous mode (CCM). Depending on converter’s commutation states and using the electrical equivalent circuits, both switched and small-signal models of ZSC are built. The design procedure of LQR + i controller is described. The robustness of the controller is tested, using Matlab/Simulink software, considering circuit parameter (source and load) uncertainties and external signal (reference voltage) disturbance. A comparison study with classical PI controller are performed. It has been shown that the robustness of LQR + i controller is better than classical PI controller.
PL
W artykule zaprezentowano liniowy, kwadraturowy sterownik w włączonym LQR zaprojektowany do przekształtników DC-DC ze źródłem Z. Odporność kontrolera była testowania przy wykorzystaniu programu Matlab/Simulink. Porównano sterownik z klasycznym układem PI.
This paper proposes RT-LAB platform for realtime implementation of Luenberger observer based on speed sensorless scalar control of induction motor. The observed shaft speed is derived from lyapunov’s theory. It is shown by an extensive study that this Luenberger observer with PI anti-windup speed controller is completely satisfactory at (nominal, variable, reverse) speed references and it is also robust to load torque disturbance. The sensorless control algorithm along with the proposed Luenberger observer is modeled, built in the Host PC and successfully implemented in real-time using digital simulator OP5600. The experimental results observed in the GW-Instek digital oscilloscope’s screen validate the effectiveness of the proposed Luenberger observer for speed sensorless scheme.
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The main purpose of this study was to describe a parameter tuning of PI speed controller when the speed is determined by differentiating the position. In the first part three methods of speed calculation was selected: moving average, low pass filter, and smooth derivative with FIR filter. Dynamic and static properties of presented methods were compared through simulation studies. The results can be helpful in choosing method for estimation the speed of the direct drive, especially for very low speeds. In the second part the relationship between the degree of smooth filter and controller setting is analysed. Simulation results show that the proposed control approach can provide good dynamic of the drive.
PL
W pracy przedstawiono dobór parametrów regulatora prędkości typu PI w uk ładzie sterowania, w którym sygnał prędkości jest wyznaczany poprzez różniczkowanie sygnału położenia. W pierwszej części wybrano trzy metody wyznaczania sygnału prędkości: ruchoma średnia, filtr dolno-przepustowy, oraz gładka metoda różniczkowania z filtrem FIR. Na drodze badań symulacyjnych porównano właściwości dynamiczne i statyczne zaprezentowanych metod. Zaprezentowane wyniki mogą być pomocą w wyborze metody wyznaczania prędkości, szczególnie w zakresie bardzo niskich prędkości obrotowych. W drugiej części pracy przeanalizowano zależność nastaw regulatora prędkości od stopnia filtru wygładzającego. Wyniki badań symulacyjnych wskazują, że zaproponowane podejście zapewnia uzyskanie dobrych właściwości dynamicznych napędu.
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This paper presents the design, simulation and comparative evaluation of both a classic proportional-integral (PI) controller and a fuzzy logic PI controller applied to the output voltage control of a DC-DC buck converter. The performance comparison was done in terms of overshoot and settling time simulated in Matlab-Simulink. Results demonstrated that the fuzzy logic PI controller has a superior performance compared to the classic PI controller, furthermore the design becomes simpler, since it is not necessary to find the mathematical model of the system to be controlled.
PL
W pracy przedstawiono projektowanie i badania symulacyjne układów sterowania przekształtnika DC-DC opartych na klasycznym regulatorze typu PI i regulatorze PI, zrealizowanym z wykorzystaniem logiki rozmytej. Zarówno projektowanie jak i badania symulacyjne zostały przeprowadzone przy użyciu programu Matlab – Simulink. Uzyskane wyniki wskazuję na lepsze właściwości układu sterowania zrealizowanego w logice rozmytej.
The paper presents selected results of the laboratory tests of the speed control system for the R-130 roadheader with an inverter-fed cutting heads drive. The results recorded for the variable speed system have been compared with the measurement obtained for the network supplied drive. There have been noticed some oscillations after rapid current overloads. They are due to the operation of the internal current controller of the PWM-inverter, The oscillations are fast decaying - so they prove the results of initial system stability checking. Generally, the automatic speed control, tracking the optimum speed level calculating by supervisory speed adjuster makes possible to better utilize the motor power throughout the whole cutting time. The better operating conditions of the motor cause increase in the whole system power efficiency (even in spite of additional losses in the inverter circuit) Additionally the sped control reduces dynamical overloads. This fact can have a positive influence on the whole system reliability. The speed control subsystem is a part of the whole control system which contains also close-loop boom angular position and velocity control circuits.
This paper presents the modeling, control and simulation of an electric vehicle with four in-wheel 15 kw induction motors drive 4WDEV controlled by a direct torque control DTC strategy, where two control techniques are presented and compared for controlling the electric vehicle speed: the first one is based on a classical PI controller while the second one is based on a fuzzy logic controller (FLC). The aim is to evaluate the impact of the proposed FLC controller on the efficiency of the 4WDEV taking into account vehicle dynamics performances, autonomy and battery power consumption. When the classical controller can’t ensure the electric vehicle stability in several road topology situations. To show the efficiency of the proposed new control technique on the traction system by 4WDEV. The vehicle has been tested in different road constraints: straight road, sloping road and curved road to the right and left using the Matlab / Simulink environment. The analysis and comparison of the simulation results of FLC and PI controllers clearly show that the FLC ensures better performances and gives a good response without overshoot, zero steady state error and high load robustness rejection, compared to the PI controller which is present an overshoot equal 7.3980% and a rise time quite important (0.2157 s with PI controller and 0.1153 s with FLC). As well as the vehicle range has been increased by about 10.82 m throughout the driving cycle and that the energy consumption of the battery has been reduced by about 1.17% with FLC.
W pracy krótko scharakteryzowano strefę odbioru osadzarki jako obiekt regulacji. Opisano przyjęty w celach badawczych przyrostowy algorytm cyfrowego regulatora PI. Omówiono też problemy związane z doborem nastaw cyfrowego regulatora PI. Następnie, w celach symulacyjnych, dobrano nastawy regulatora na podstawie zidentyfikowanych parametrów zastępczego liniowego modelu obiektu. W dalszej części referatu rozpatrzono dwa przypadki zmian zadanej gęstości rozdziału. W celu dokonania analizy porównawczej, zastosowano algorytm pozycyjny z kompensatorem zjawiska windup. Wyniki badań symulacyjnych przedstawiono w postaci wykresów przebiegów czasowych wartości regulowanej. Na koniec porównano efekty regulacji dla obu przyjętych algorytmów.
EN
The study briefly characterized the jig distribution zone as an control object. Accepted for research purposes, incremental algorithm of the digital PI controller has been described. Also, issues related to setting the digital PI controller have been discussed. Then, for the purpose of simulation, controller settings based on the identified parameters of linear model has been chosen. In the rest of the paper two cases of changes to the separation density were examined. In order to make a comparative analysis, positional algorithm with the antiwindup compensator has been used. The results of simulation studies were presented in graphical timelines of the control variable. At the end, the effects of control for both algorithms were compared.
The most problem of direct torque control are high torque ripple and Settling time to overcome this problem an efficiency Backstopping speed controller are proposed. This paper makes a comparison of the effectiveness of three PI speed controller based direct torque control, the first one is the classical PI speed controller (CL-PISC), the second are no Adaptive Backstepping controller (NABACKSC), and the third type are adaptive fuzzy PI controller (AF-PISC). The parameters of adaptive fuzzy PI are dynamically adjusted with the assistance of fuzzy logic controller. The non-Adaptive Backstopping controller is designed based on the Lyapunov stability theorem. The direct torque control is very adapted for electric propulsion systems; we apply this new strategy for an 15 Kw induction motor. The proposed PI controllers are simulated in MATLAB SIMULINK environment. The simulation results confirmed that the NA-BACKSC, present robust and the best dynamic behavior on direct torque control compared to AF-PISC and CL-PISC.
Explored in this paper is the grid impedance effect on the stability of a single-phase grid connected inverter with an LC filter based on an analysis of the inverter output impedance. For a single-phase grid connected inverter, a PI controller is often used to regulate the current injected into the grid. However, the control performance can be influenced when the inverter is connected to a weak grid. Also, the utility grid has background harmonic noise, which can make the injected current distorted. Therefore, analysis of the output impedance of a single-phase grid connected inverter is important for the robustness and stability of the system. By modeling the output impedance of inverter, it can be determined that the proportional gain and integral gain of the controller have an effect on the output impedance. Analytical results show that by adjusting the PI controller parameters, the ability for harmonic reduction and stability of the system can be improved. Simulation and experiments using a 1 kW single-phase grid connected inverter verify the effectiveness of the theoretical analysis.
In this paper the performance of a fractional order PI controller is compared with that of RED, a well-known active queue management (AQM) mechanism. The article uses fluid flow approximation and discrete-event simulation to investigate the influence of the AQM policy on the packet loss probability, the queue length and its variability. The impact of self-similar traffic is also considered.
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