Radial basis function networks based synergetic terminal controller for piezoelectric actuator with Colman-Hodgdon hysteresis model

• Autorzy: Ounissi Amor , Kaddouri Azeddine , Abdessemed Rachid

Identyfikatory

DOI

10.15199/48.2024.03.23

Warianty tytułu

PL

Funkcja podstawy promieniowej Synergiczny kontroler terminala oparty na sieci dla siłownika piezoelektrycznego z modelem histerezy Colmana-Hodgdona

• Języki publikacji: EN

Abstrakty

EN

This article proposes an intelligent nonlinear control approach based on the concept of combining neural networks and the methodology of synergistic terminal control. We have introduced the notion of convergence in finite time through the improvement induced on the macrovariable. This approach is associated with the approximation criteria of unknown nonlinearities by a radial basis function neural network to a class of PEA piezoelectric actuator positioning mechanisms.RBF weights are adjusted using the terminal attractor concept in the PEA finite time control process.the stability of a closed-loop system is ensured by the Lyapunov method.The simulation results have demonstrated the robustness of the proposed approach and provide good results in terms of tracking the trajectory and provides a better overall performance than that of classical synergetic control.

PL

W artykule zaproponowano inteligentne podejście do sterowania nieliniowego, oparte na koncepcji łączenia sieci neuronowych i metodologii synergistycznego sterowania terminalami. Wprowadziliśmy pojęcie zbieżności w skończonym czasie poprzez poprawę wywołaną makrozmienną. Podejście to wiąże się z aproksymacją kryteriów nieznanych nieliniowości za pomocą sieci neuronowej o promieniowej funkcji bazowej do klasy mechanizmów pozycjonowania siłowników piezoelektrycznych PEA. Wagi RBF są regulowane za pomocą koncepcji atraktora końcowego w procesie kontroli czasu skończonego PEA. Stabilność zamkniętego -pętlę zapewnia metoda Lapunowa. Wyniki symulacji wykazały solidność proponowanego podejścia i zapewniają dobre wyniki w zakresie śledzenia trajektorii oraz zapewniają lepszą ogólną wydajność niż w przypadku klasycznego sterowania synergicznego.

Słowa kluczowe

EN

Coleman-Hodgdon model; identification with particle swarm optimization approache; radial basis function network

PL

model Colemana-Hodgdona; identyfikacja metodą optymalizacji roju cząstek; radialna sieć funkcyjna

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 3
• Strony: 125--129
• Opis fizyczny: Bibliogr. 32 poz., rys.

Twórcy

autor

Ounissi Amor

• University of BATNA -2-, Department of Electrical Engineering, Faculty of Technology, Batna, Algeria

• https://orcid.org/0000-0002-9822-2191

autor

Kaddouri Azeddine

• University of Moncton,Department of Electrical Engineering, Faculty of Technology, Moncton, Canada

• https://orcid.org/0000-0001-8758-1028

autor

Abdessemed Rachid

• University of BATNA -2-, Department of Electrical Engineering, Faculty of Technology, Batna, Algeria

• https://orcid.org/0000-0001-9062-7410

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).