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  1. 8 Bulletin of the Polish Academy of Sciences. Technical Sciences
  2. 2 Computer Applications in Electrical Engineering
  3. 2 Przegląd Elektrotechniczny
  4. 1 Architecture Civil Engineering Environment
  5. 1 Archives of Civil and Mechanical Engineering
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  1. 3 Serkies P. J.
  2. 2 Antoniewicz K.
  3. 2 Kazmierkowski M. P.
  4. 2 Miller A.
  5. 2 Rafal K.
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  1. 1 2023
  2. 3 2022
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1
Content available Model predictive ship trajectory tracking system based on line of sight method
Miller Anna
Bulletin of the Polish Academy of Sciences. Technical Sciences
|
2023
|
Vol. 71, nr 5
art. no. e145763
EN
Maritime Autonomous Surface Ships (MASS) perfectly fit into the future vision of merchant fleet. MASS autonomous navigation system combines automatic trajectory tracking and supervisor safe trajectory generation subsystems. Automatic trajectory tracking method, using line-of-sight (LOS) reference course generation algorithm, is combined with model predictive control (MPC). Algorithm for MASS trajectory tracking, including cooperation with the dynamic system of safe trajectory generation is described. It allows for better ship control with steady state cross-track error limitation to the ship hull breadth and limited overshoot after turns. In real MASS ships path is defined as set of straight line segments, so transition between trajectory sections when passing waypoint is unavoidable. In the proposed control algorithm LOS trajectory reference course is mapped to the rotational speed reference value, which is dynamically constrained in MPC controller due to dynamically changing reference trajectory in real MASS system. Also maneuver path advance dependent on the path tangential angle difference, to ensure trajectory tracking for turns from 0 to 90 degrees, without overshoot is used. All results were obtained with the use of training ship in real–time conditions.
2
Content available remote A simplified model predictive control for shunt active power filter using modified instantaneous power theory under polluted grid conditions
Bouchikha Hocine, Mesbahi Nadhir, Heguig Larouci, Ouari Ahmed
Journal of Power Technologies
|
2022
|
Vol. 102, nr 1
14--24
EN
This paper proposes a simplified finite control set model predictive control (FCS-MPC) strategy for a three-phase shunt active power filter (SAPF), which is based on a vector operation technique (VOT). In the conventional FCS-MPC, the optimal switching state is selected based on the evaluation and minimization of a cost function for all possible voltage vectors of the voltage source inverter (eight different vectors). The proposed FCS-MPC performs like a conventional FCS-MPC where the selection and evaluation of the possible voltage vectors are reduced by half (four vectors). The reduction in the computational burden is evident. In this study, the modified version of the instantaneous power theory based on a high selectivity filter is used to extract reference current components which increase the selectivity and the dynamic performance of SAPF. Simulation results demonstrate the effectiveness and reliability of the SAPF with the proposed control strategy under polluted grid conditions.
3
Content available Cascade tanks system identification for robust predictive control
Jakowluk Wiktor, Jaszczak Sławomir
Bulletin of the Polish Academy of Sciences. Technical Sciences
|
2022
|
Vol. 70, nr 6
art. no. e143646
EN
The main goal of estimating models for industrial applications is to guarantee the cheapest system identification. The requirements for the identification experiment should not be allowed to affect product quality under normal operating conditions. This paper deals with ensuring the required liquid levels of the cascade system tanks using the model predictive control (MPC) method. The MPC strategy was extended with the Kalman filter (KF) to predict the system’s succeeding states subject to a reference trajectory in the presence of both process and measurement noise covariances. The main contribution is to use the application-oriented input design to update the parameters of the model during system degradation. This framework delivers the least-costly identification experiment and guarantees high performance of the system with the updated model. The methods presented are evaluated both in the experiments on a real process and in the computer simulations. The results of the robust MPC application for cascade system water levels control are discussed.
4
Content available Predictive current control for permanent magnet synchronous motor based on internal model control observer
Tang Min'at, Wang Chenyu, Luo Yinhang
Archives of Electrical Engineering
|
2022
|
Vol. 71, nr 2
343--362
EN
The model predictive current control (MPCC) of the permanent magnet synchronous motor (PMSM) is highly dependent on motor parameters, and a parameter mismatch will cause the system performance degradation. Therefore, a strategy based on an internal model control (IMC) observer is proposed to correct the mismatch parameters. Firstly, based on the MPCC strategy of the PMSM, according to the dynamic model of the PMSM in a rotating orthogonal coordinate system, 𝑑-axis and 𝑞-axis current IMC observers are designed, and the stability derivation is carried out. It is proved that the observer can estimate 𝑑-axis and 𝑞-axis disturbance components caused by a parameter mismatch without static error. Then, the estimated disturbance component is compensated for by the reference voltage prediction expression. Finally, the effectiveness of the proposed strategy is verified in two different conditions. The experimental results show that the proposed control strategy can effectively compensate for the parameter mismatch disturbance in MPCC for PMSM, improve the dynamic and static performance of the system, and improve the robustness of the system. voltage prediction expression. Finally, the effectiveness of the proposed strategy is verified in two different conditions. The experimental results show that the proposed control strategy can effectively compensate for the parameter mismatch disturbance in MPCC for PMSM, improve the dynamic and static performance of the system, and improve the robustness of the system.
5
Content available remote MPC controller of PV system based Three-Level NPC Inverter under different climatic conditions connected to the grid
Dennai Mohammed Yassine, Tedjini Hamza, Nasri Abdelfatah, Taibi Djamel
Przegląd Elektrotechniczny
|
2021
|
R. 97, nr 3
130--137
EN
In this paper, PV arrays are connected to the grid through a three-Level NPC Inverter. Both the current control and voltage balancing performance of the inverter are ensured via model predictive control (MPC) technique. This paper is comparing and presenting operational performance analysis of grid-connected three-Level NPC Inverter results using three techniques controllers namely: Self-tuning Fuzzy Logic PI controller (FLC), Neural Network controller (ANN), and PI classical controller, under different environmental conditions to optimally tune the reference current of the controller and following the maximum power point.
PL
Opisano system ze źródłem fotowoltaicznym gdzie stosuje się zarówno bieżące operacje kontroli, jak i równoważenie napięcia NPC z porównaniem trzech różnych strategii kontrolera. Skuteczność porównuje się między trzema strategiami kontrolnymi przy różnym natężeniu promieniowania i różnej temperaturze.
6
Content available Zastosowanie aplikacji Machine Performance Check (MPC) w codziennych testach kontroli jakości akceleratora TrueBeam wraz z analizą parametru zmiany wydajności
Charmacińska Magdalena, Bąk Olga, Paluszyńska Marta, Borowska Patrycja, Pawałowski Bartosz
Inżynier i Fizyk Medyczny
|
2021
|
Vol. 10, nr 2
107--114
PL
Nieodłącznym elementem procesu radioterapii jest kontrola jakości pracy akceleratorów medycznych celem zapewnienia wysokiej jakości leczenia. Dzienne pomiary akceleratorów medycznych wykonywane są zawsze przed rozpoczęciem pracy klinicznej aparatu. W przypadku akceleratora TrueBeam (Varian) przy wykorzystaniu systemu Machine Performance Check (MPC) możliwe jest zrealizowanie zautomatyzowanego pomiaru stabilności wydajności wiązek, zgodności geometrycznych, a także analiza uzyskanych wyników.
EN
An integral part of the radiotherapy process is quality assurance of medical accelerators to ensure high-quality treatment. Daily measurements of medical accelerators are always performed before the linacs begins its routine treatment. In the case of the TrueBeam accelerator (Varian) using the Machine Performance Check (MPC) it is possible to perform full verification and analysis of beam and geometric performance of the TrueBeam linac.
7
Content available remote Hybrid welding of metal-polymer composites with a non-conducting polymer layer
Kustroń Paweł, Korzeniowski Marcin, Piwowarczyk Tomasz, Sokołowski Paweł
Biuletyn Instytutu Spawalnictwa w Gliwicach
|
2021
|
Vol. 65, No. 4
33--40
EN
Metal-polymer composites (MPCs) are becoming increasingly popular primarily because of their high strength-to-weight ratio. Metal-polymer composites consist of three layers, i.e. two external metallic sheets (linings) and the core made of plastic. The presence of the internal plastic layer makes MPCs impossible to join using conventional welding processes, which significantly limits their usability. One of the solutions to the problem involves the use of hybrid methods, e.g. ultrasonic method-aided resistance welding. The research work discussed in the article involved the development of a prototype test rig and a technology enabling the joining of the Litecor® composite with steel DP600. The joining process consisted of two stages. The first stage involved the removal of the non-conducting layer of polymer from the welding area and the making of an appropriate electric contact for resistance welding. The second stage was the classical resistance spot welding process. The development of the concept posed a challenge as it was necessary to develop an appropriate acoustic waveguide for high-power ultrasonic waves which, at the same time, could transfer loads in the form of electrode force as well as provide appropriate electric and thermal conductivity without compromising acoustic parameters during the welding process. The development of the test rig was followed by the performance of numerous tests aimed to identify the appropriate window of process parameters. Test joints were subjected to macrographic, strength, ultrasonic and topographic tests.
PL
Kompozyty metalowo-polimerowe (MPC) zyskują na znaczeniu głównie ze względu na wysoki stosunek wytrzymałości do masy. Składają się one z trzech warstw, tj. dwóch zewnętrznych metalowych arkuszy (okładzin) i rdzenia z tworzywa sztucznego. Obecność wewnętrznej warstwy tworzywa sztucznego sprawia, że nie można ich łączyć za pomocą konwencjonalnych procesów zgrzewania, co znacznie ogranicza zakres ich stosowania. Jednym ze sposobów rozwiązania tego problemu jest zastosowanie metod hybrydowych, np. zgrzewania rezystancyjnego wspomaganego metoda ultradźwiękową. W ramach podjętych badań opracowano prototypowe stanowisko badawcze oraz technologię łączenia kompozytu Litecor® ze stalą DP600. Proces łączenia opierał się na dwóch etapach. W pierwszym istotne jest usunięcie nieprzewodzącej warstwy polimeru ze strefy zgrzewania i stworzenie odpowiedniego styku elektrycznego do zgrzewania oporowego. Etap drugi to klasyczne zgrzewanie rezystancyjne punktowe. Opracowanie tej koncepcji było wyzwaniem ze względu na konieczność zaprojektowania odpowiedniego falowodu akustycznego dla fali ultradźwiękowej dużej mocy, który jednocześnie przeniesie obciążenia w postaci siły docisku elektrod, zapewni odpowiedną przewodność elektryczną i cieplną, a przede wszystkim zachowa swoje parametry akustyczne w trakcie procesu zgrzewania. Po opracowaniu stanowiska badawczego dokonano licznych badań w celu opracowania odpowiednego okna parametrów procesowych. Ponadto wykonane złącza były poddawane niezbędnym badaniom, w tym makrograficznym, wytrzymałościowym, ultradźwiękowym oraz topograficznym
8
Content available Investigation of Heavy Metal Sources on Railways: Ballast Layer and Herbicides
Samarska Alla, Zelenko Yuliia, Kovrov Oleksandr
Journal of Ecological Engineering
|
2020
|
Vol. 21, nr 8
32--46
EN
Railway operation can result in the significant environment contamination with heavy metals. The aim of the study was to broaden the knowledge about the railway transport as a source of heavy metals. Railway ballast stones and herbicides were chosen as the objects of the research since these contamination sources on railways are hardly investigated. The location of sampling the ballast stones was a passenger station, which is characterized by the high traffic intensity. The three most common glyphosate-based herbicides and two combination system herbicides of burn-down with other active agents were chosen for the analysis. The heavy metal content in the railway ballast stones was detected by means of XRF, in the herbicides ‒ by means of MP-AES. The railway ballast stones did not contain a sufficient amount of Cd, Co, Mo, Pd, Sn and W for detection. Pb and As were detected at the low concentration of less than 35 ppm only in several samples. The research results showed that the investigated railway ballast contained a significant amount of Fe, Mn, Cu, Cr and Ni. According to the absolute content of HMs in the contaminated ballast layer, they can be arranged in the following sequence: Fe > Mn > Cu > Cr > Ni > Zn > Pb > As. The content of Fe in the contaminated ballast stones was strongly correlated with that of Ni (r = 0.972), Cr (r = 0.954) and Mn (r = 0.943). These metals are components of the railway steel. Therefore, their source can be the abrasion of rails and wheels. All the investigated herbicides contained Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn. The highest content of Cd, Cr, Ni and Pb was detected in the “Anti field bindweed” herbicide, which can be related to its complicated composition. Compared to the heavy metal content in the ballast stones, the herbicides can be considered a negligible source of these pollutants.
9
Content available Properties of active rectifier with LCL filter in the selection process of the weighting factors in finite control set-MPC
Falkowski P., Sikorski A., Kulikowski K., Korzeniewski M.
Bulletin of the Polish Academy of Sciences. Technical Sciences
|
2020
|
Vol. 68, nr 1
51--60
EN
One of the main problems of multivariable cost functions in model predictive control is the choice of weighting factors. Two finite control set model predictive control algorithms, applied to the three-phase active rectifier with an LCL filter, are described in the paper. The investigated algorithms, i.e. PCicuc and PCigicuc, implement multivariable approaches applying line (grid) current, capacitor voltage and converter current. The main problem dealt with in the paper is the choice of optimum values of the cost function weighting factors. The values of the factors calculated using the method proposed in the paper are very close to the values represented by the lowest THDi of the line current. Moreover, simulations verifying the equations used in the prediction of controlled values, i.e. line current, capacitor voltage and converter current, are presented. Both simulation and experimental results are presented to verify effectiveness of the investigated control strategies under change of the load (P = 5 kW and 2.5 kW), during transient states, under unbalanced and balanced line voltage.
10
Content available Constant switching frequency predictive control scheme for three-level inverter-fed sensorless induction motor drive
Stando D., Kazmierkowski M. P.
Bulletin of the Polish Academy of Sciences. Technical Sciences
|
2020
|
Vol. 68, nr 5
1057--1068
EN
The paper presents a novel model predictive flux control (MPFC) scheme for three-level inverter-fed sensorless induction motor drive operated in a wide speed region, including field weakening. The novelty of the proposed drive lies in combining in one system a number of new solutions providing important features, among which are: very high dynamics, constant switching frequency, no need to adjust weighting factors in the predictive cost function, adaptive speed and parameter (stator resistance, main inductance) estimation. The theoretical principles of the optimal switching sequence predictive stator flux control (OSS-MPFC) method used are also discussed. The method guarantees constant switching frequency operation of a three-level inverter. For speed estimation, a compensated model reference adaptive system (C-MRAS) was adopted while for IM parameters estimation a Q-MRAS was developed. Simulation and experimental results measured on a 50 kW drive that illustrates operation and performances of the system are presented. The proposed novel solution of a predictive controlled IM drive presents an attractive and complete algorithm/system which only requires the knowledge of nominal IM parameters for proper operation.
11
Content available remote Polioptymalizacja procesu chemicznego i biologicznego usuwania związków azotu i fosforu ze ścieków komunalnych z wykorzystaniem wielowątkowego systemu sterowania predykcyjnego (MPC)
Gaska Krzysztof, Lobur Mykhailo, Jaworski Nazariy, Bajdur Wioletta, Ciuła Józef, Vovk Myroslava, Ščurek Radomír
Przemysł Chemiczny
|
2019
|
T. 98, nr 11
1822--1827
PL
Opracowano polimorficzny model reaktora biologicznego z logiczną reprezentacją wiedzy o obiekcie sterowania i sterowaniu, dla których proces uczenia się polega na sukcesywnej walidacji i uaktualnianiu wiedzy oraz wykorzystywaniu wyników tego uaktualniania do wyznaczania decyzji sterujących. Na podstawie ciągłego pomiaru stężenia fosforu (jako PO4-P) określono ładunki fosforu jako iloczyn przepływu i stężenia. Różnicę pomiędzy fosforem całkowitym a PO4-P określono empirycznie zgodnie z klasyczną analityką. Zastosowany system sterowania, poza efektem energetycznym, pozwalał również na optymalizację.
EN
An advanced model for the optimization of the title processes was developed by using a multi-threaded predictive control system. The activated sludge method was used in 2 biol. reactors, where denitrification and nitrification and removal of org. C compds. and dephosphatation took place. A sewage aeration and movement in bioreactors was generated by using agitators or sludge recirculation. The computer model of the wastewater treatment plant was developed in a com. environment. An activated sludge model was used to model biochem. processes, including org. C and N removal and transformations involving bacteria using the ability to store P in cell biomass. Then, quantitative and qualitative parameters were identified and the model was calibrated by det. the agreement of simulation results with measured data.
12
Content available Investigations of the impact of polluted natural waters on cardiovascular diseases and development of integrated prevention system
Vishnevetskiy Vyacheslav, Popruzhniy Vladislav
Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
|
2019
|
Vol. 28, No. 1
49--60
EN
The aim of this study was to establish the correlation between natural water pollutions and the prevalence of heart diseases. We analyzed the data from the 2014 Federal Service Report on the state of sanitary and epidemiological welfare of the population. The correlation analysis of data on mortality and primary morbidity of the population was carried out, the correlation between the quality of natural water and cardiovascular diseases of the population was established. The complex method of water quality assessment according to the data of hydrochemical monitoring of the Azov Sea and rivers flowing into it were used in the investigation, the influence of the main pollutants such as copper and manganese on the dynamics of cardiovascular diseases according to mortality and primary morbidity for the population of Taganrog was considered. As conclusion we can state that statistical association between water intake and heart diseases exists in the region of analysis. However, further studies on water intake are needed to confirm our findings.
13
Content available Porównanie różnych sposobów optymalizacji nastaw regulacji procesów przemysłowych z uwzględnieniem wpływu wskaźników oceny ich jakości
Bogusz Konrad, Rajkowski Bartosz, Domański Paweł D.
Pomiary Automatyka Robotyka
|
2019
|
R. 23, nr 3
27--39
PL
Jakość regulacji jest kluczowym zagadnieniem w nowoczesnym przemyśle. Zadaniem inżyniera jest nie tylko dobór parametrów regulacji, ale również bieżące nadzorowanie jej jakości tak, aby maksymalizować wydajność procesu a także dbać o stan aparatury i urządzeń wykonawczych. W zdecydowanej większości rozwiązań praktycznych stosowany jest kwadratowy wskaźnik jakości, zarówno w procesie strojenia jak i oceny jakości regulacji. W artykule zostały zaproponowane inne wskaźniki, cechujące się większą odpornością. Zostały one zastosowane do dwóch zadań: projektowania nastaw regulatora oraz oceny jakości już pracującej struktury sterowania. W pracy uwzględnione zostały rozwiązania dla różnych wersji podstawowego algorytmu regulacji w przemyśle procesowym, tj. PID. Różne strategie regulacji PID zostały również porównane z algorytmem sterowania predykcyjnego typu MPC. Analiza symulacyjna wykorzystuje przemysłowy benchmark układu sterowania systemem chłodniczym wykorzystującym zjawisko kompresji pary.
EN
Control quality is a crucial issue in modern industry. The engineer’s goal is to set control parameters and assess it constantly in order to maximize the efficiency of the process and watch the condition of actuators. The article describes a number of Control Performance Assessment indexes. They are applied to two tasks: controller tuning and the assessment of the quality of an already tuned control strategy. It presents a comparison between different indexes applied to various structures of the PID control algorithm. Finally the results are compared with Model Predictive Control. The analysis uses well known nonlinear industrial benchmark of a refrigeration system based on vapour compression.
14
Content available Model predictive control of four-leg three-level flying capacitor converter: influence of model parameter mismatch
Antoniewicz K., Rafal K., Jasinski M.
Power Electronics and Drives
|
2018
|
Vol. 3 (38), No. 1
1--9
EN
This paper presents a control method for a four-leg three-level flying capacitor converter (FCC) operating as a shunt active power filter (SAPF), based on model predictive control with finite number of control states (FS-MPC). Current control and capacitor voltage balancing are described. Influence of the mismatch of the inductive filter model parameters on the current control precision is analysed. Results are supported by the experimental waveforms obtained with a 10kVA set-up.
15
Content available A novel predictive fuzzy adaptive controller for a two-mass drive system
Serkies P.
Bulletin of the Polish Academy of Sciences. Technical Sciences
|
2018
|
Vol. 66, nr 1
37--47
EN
In the paper, a novel control structure based on the fuzzy logic and model predictive control methodologies for an elastic two-mass drive system is proposed. In order to reduce the computational requirements of the classical MPC methodology, the multi parametric programming (MPT) approach is used. The robustness of the system is ensured by implementation of three MPT controllers generated for different operation points and a supervisory fuzzy system. The main goal of the fuzzy system is suitable shaping of the control signal. The effectiveness of the proposed approach is checked in simulation and experimental tests. In order to show the properties of the proposed control structure, a critical comparison with an adaptive classical MPC controller is carried out. Both control structures are tested taking into account the performance and possibility of real-time implementation.
16
Content available Model predictive current control method for four-leg three-level converter operating as shunt active power filter and grid connected inverter
Antoniewicz K., Rafal K.
Bulletin of the Polish Academy of Sciences. Technical Sciences
|
2017
|
Vol. 65, nr 5
601--607
EN
This paper presents model predictive control (MPC) with a finite control states set (FS) for three-level four-leg flying capacitor (FCC) converter. Principles of control method are presented and flying capacitor voltages control method is discussed. Experimental results of converter operating as a shunt active power filter (SAPF) and grid connected inverter (GCI) are shown.
17
Content available Model predictive control of multilevel cascaded converter with boosting capability – experimental results
Wiatr P., Kryński A.
Bulletin of the Polish Academy of Sciences. Technical Sciences
|
2017
|
Vol. 65, nr 5
589--599
EN
The main goal of this paper is to present a five-level converter with the feature of output voltage boosting capability. Thanks to its modular construction and single DC source usage, 5LCHB converter becomes an important alternative for two-level converters operating with DC-DC converters that use bulky inductors. Furthermore, model predictive control (MPC) method is presented, which allows for boosting output voltage of presented converter while providing three-phase load current control and flying capacitor voltage stabilization. The last section describes a 5kVA laboratory model of five-level hybrid converter interfacing RL load and shows experimental results confirming theoretical analysis derived in previous sections.
18
Content available remote A high-performance computing (HPC) based integrated multithreaded model predictive control (MPC) for water supply networks
Gaska K., Generowicz A., Zimoch I., Ciuła J., Iwanicka Z.
Architecture Civil Engineering Environment
|
2017
|
Vol. 10, no. 4
141--151
EN
The article presents the concept of an intelligent system of multithreaded, hierarchical predictive control of water supply and sewage networks using a parallel computational architecture. The predominant element of the proposed control system over other hitherto functioning systems is the element of predicting future events (MPC model). This feature, combined with the self-learning intelligent control system, not only allows you to react to changes in sensor state, but also anticipate these changes and adjust the system in advance to prepare for predicted situation, which is particularly important in systems with high inertia as extensive water supply and sewage networks. The technologically advanced solutions proposed by the authors, ie the HPC (High Performance Computing) ICT system, including the requesting module allows (by analyzing the space of states and events in real time) to predict future behaviors of individual elements of the system and effectively react to unknown cases, supporting the making of strategic decisions.
PL
W artykule przedstawiono koncepcję inteligentnego systemu wielowątkowego, hierarchicznego sterowania predykcyjnego sieciami wodociągowymi i kanalizacyjnymi z wykorzystaniem równoległej architektury obliczeniowej. Zdecydowaną przewagą proponowanego systemu sterowania nad innymi dotychczas funkcjonującymi, jest element przewidywania przyszłych zdarzeń (model MPC). Cecha ta w połączeniu z samouczącym się inteligentnym systemem sterowania pozwala nie tylko reagować bieżąco na zmiany stanu sensorów, ale również przewidywać te zmiany i z odpowiednim wyprzedzeniem korygować działanie systemu przygotowując go na przewidywany rozwój sytuacji, co ma szczególnie duże znaczenie w systemach o dużej bezwładności jak rozległe sieci wodociągowe i kanalizacyjne. Proponowane przez autorów zaawansowane technologicznie rozwiązania, tj. system ICT klasy HPC (High Performance Computing), obejmujący m.in. moduł wnioskujący, pozwala (poprzez analizę przestrzeni stanów i zdarzeń w czasie rzeczywistym) na przewidywanie przyszłych zachowań poszczególnych elementów systemu i skutecznie reagować na nieznane przypadki, wspomagając podejmowanie strategicznych decyzji.
19
Content available Model predictive control of multilevel cascaded converter with boosting capability – a simulation study
Wiatr P., Kazmierkowski M. P.
Bulletin of the Polish Academy of Sciences. Technical Sciences
|
2016
|
Vol. 64, nr 3
581--590
EN
This paper presents a multilevel cascaded H-bridge 5-level converter with boosting capability. The standard solution for boosting voltage in power electronic devices is based on a DC-DC converter with a bulky inductor. However, inductor is a problematic component of a power electronic converter because usually it has to be individually designed and produced for every device and also because its size and weight do not allow for compact construction. This paper presents model predictive control (MPC) method that gives boosting capability for the presented converter. A novel contribution of this paper is the development of a predictive model of the converter and cost function enabling output current control and capacitor voltage balancing.
20
Content available Methods of controller synthesis using linear matrix inequalities and model predictive control
Miller A., Rybczak M.
Zeszyty Naukowe Akademii Morskiej w Szczecinie
|
2015
|
nr 43 (115)
22--28
EN
Controllers based on linear matrix inequalities (LMI) and model predictive control (MPC) both use optimization methods; there are however significant differences between them. In case of LMI controllers, optimization is carried out during controller synthesis, because LMI’s are an optimization tool that requires a linear programming problem being solved. With MPC controllers, however, optimization methods are not used as much in controller synthesis as in controller algorithm operation, to determine optimal control signal values based on the found minimum of the criteria function. A square function is used with boundaries from above and below, which requires a square programming problem, with boundaries for decision variables, being solved. In this paper controller synthesis methods using LMI and MPC are shown, with a focus on the steps that need to be performed, and a comparison of both methods.
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