Adaptacyjne sterowanie neuronowym regulatorem prędkości dla napędu bezpośredniego z silnikiem PMSM

• Autorzy: Pajchrowski T. , Kogut W.

Identyfikatory

DOI

10.15199/48.2016.05.07

Warianty tytułu

EN

Adaptive control neural speed control for direct drive with PMSM motor

• Języki publikacji: PL

Abstrakty

PL

W pracy przedstawiono wybrane właściwości adaptacyjnego regulatora neuronowego sterowanego online dla napędu bezpośredniego w warunkach mechanicznych zmian parametrów obiektu. Opisano algorytm RPROP, który porównano z wybranymi algorytmami uczenia sieci neuronowych sterowanych online, takich jak: algorytm wstecznej propagacji, momentowa metoda wstecznej propagacji i Quickprop. Algorytmy zostały zaimplementowane na stanowisku laboratoryjnym.

EN

The paper presents selected properties of adaptive neural network controller trained online with direct drive for mechanical conditions change object parameters. In the work was described algorithm RPROP and it was compared with the selected training algorithms of neural networks trained online, such as: BackPropagation, Momentum BackPropagation and Quickprop. The algorithms were implemented on a laboratory stand.

Słowa kluczowe

PL

sterowanie adaptacyjne; sztuczna sieć neuronowa; napęd bezpośredni

EN

adaptive control; artificial neural network; direct drive

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2016
• Tom: R. 92, nr 5
• Strony: 34--39
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr.

Twórcy

autor

Pajchrowski T.

• Politechnika Poznańska, Instytut Automatyki i Inżynierii Informatycznej, ul. Piotrowo 3a, 60- 965 Poznań

autor

Kogut W.

• Politechnika Poznańska, Instytut Automatyki i Inżynierii Informatycznej, ul. Piotrowo 3a, 60- 965 Poznań

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.