Adaptive neural speed control of the induction motor drive

نویسندگان

  • Marcin KAMINSKI
  • Teresa ORLOWSKA-KOWALSKA
چکیده

In this paper adaptive neural controllers implemented in the speed and flux control loops of the induction motor drive are presented. Feedforward networks with sigmoidal neurons in the hidden layer are applied. Parameters of the neural network structure are updated on-line according to the Backpropagation algorithm. Described adaptive controllers provide the accurate control with fast response of the drive system to the reference speed signal. Important advantage of the proposed controllers is its simplified structure, reduced number of parameters adjusted in the design process (without direct dependency on parameter of the motor). In this paper results of tests showing correct work of the described control structure of the induction motor are presented. Streszczenie. W artykule przedstawiono adaptacyjny neuronowy regulator zastosowany w pętli sterowania prędkością oraz strumieniem wirnika silnika indukcyjnego. Zastosowany regulator bazuje na sieci neuronowej bez sprzężeń zwrotnych z sigmoidalnymi funkcjami aktywacji w warstwie ukrytej. Parametry (współczynniki wagowe) sieci neuronowej są aktualizowane on-line zgodnie z algorytmem wstecznej propagacji błędu. Opisane regulatory adaptacyjne umożliwiają precyzyjne sterowanie i szybkie odpowiedzi układu na zadane trajektorie prędkości. Istotną zaletą proponowanego rozwiązania jest uproszczona struktura regulatorów oraz zredukowana liczba parametrów wyznaczanych w procesie projektowania (niezależnych bezpośrednio od parametrów silnika). W artykule zamieszczono wyniki badań prezentujących poprawną pracę opisywanych regulatorów. (Adaptacyjny neuronowy regulator prędkości silnika indukcyjnego).

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تاریخ انتشار 2013