Optymalizacja wzmocnień obserwatora Luenbergera silnika indukcyjnego metodą roju cząstek

• Autorzy: Białoń Tadeusz

Identyfikatory

DOI

10.15199/48.2022.11.57

Warianty tytułu

EN

Particle swarm optimization of an inductionmotor Luenberger observer

• Języki publikacji: PL

Abstrakty

PL

W artykule opisano eksperymenty z doborem wzmocnień obserwatora zmiennych stanu silnika indukcyjnego przy wykorzystaniu metody optymalizacyjnej opartej na roju cząstek (PSO). W badaniach skupiono się na porównaniu różnych wersji algorytmu PSO, poddając optymalizacji funkcję celu o zawsze takich samych parametrach. Przeanalizowano trzy różne metody uczenia, GB (Global Best), LB (Local Best) oraz FIPS (Fully Informed Particle Swarm). Dwie ostatnie metody działają w oparciu o zadaną topologię roju, do wyboru spośród kraty pierścieniowej, kraty Von Neumanna oraz FDR (Fitness Distance Ratio). Przeanalizowano zagadnienia zbieżności i stabilności algorytmu, zależne od parametrów takich jak współczynnik uczenia.

EN

The paper describes experiments with the gain selection of an induction motor state observer, using particle swarm optimization (PSO) method. The research focused on comparing different versions of the PSO algorithm, optimizing the fitness function elaborated during preceding research. Three different learning methods were analyzed, GB (Global Best), LB (Local Best) and FIPS (Fully Informed Particle Swarm). The last two methods operate on the basis of a given swarm topology, to be selected from a ring lattice, Von Neumann lattice and FDR (Fitness Distance Ratio). The problems of convergence and stability of the algorithm, depending on parameters such as a cognition factor, were analyzed. The results for 1000 runs of PSO with 20 different sets of parameters were presented and compared.

Słowa kluczowe

PL

optymalizacja rojem cząstek; obserwator Luenbergera; silnik indukcyjny

EN

particle swarm optimization; luenberger observer; induction motor

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 11
• Strony: 277--283
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Białoń Tadeusz

• Politechnika Śląska, Wydział Elektryczny, Katedra Elektrotechniki i Informatyki, ul. Akademicka 10, 44-100 Gliwice

• https://orcid.org/0000-0001-5056-0514

Bibliografia

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• [5] Kubota H., Matsuse K., Nakano T., DSP-based speed adaptive flux observer of induction motor, IEEE Trans. Ind. Appl., 29 (1993), No. 2, 344-348
• [6] Białoń T., Pasko M., Niestrój R., Developing Induction Motor State Observers with Increased Robustness, Energies, 13 (2020), No. 20:5487, 1-24
• [7] Azzoug V., Menacer A., Pusca R., Romary R., Ameid T., Ammar A., Fault Tolerant Control for Speed Sensor Failure in Induc-tion Motor Drive based on Direct Torque Control and Adaptive Stator Flux Observer, Proceedings of International Conference on Applied and Theoretical Electricity (ICATE), (2018), 1-6
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• [16] Białoń T., Lewicki A., Pasko M., Niestrój R., Non-proportional full-order Luenberger observers of induction motors, Arch. Electrical Eng, 67 (2018), 925-937
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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).