Energy flow control system based on neural compensator in the feedback path for autonomous energy source

• Autorzy: Grzesiak L.M. , Sobolewski J.
• Języki publikacji: EN

Abstrakty

EN

In this paper an artificial neural network, which realizes a nonlinear adaptive control al-gorithm, has been applied in a control system of variable speed generating system. The speed is adjusted automatically as a function of load power demand. The controller employs a single layer neural network to estimate the unknown plant nonlinearities online. Optimization of the controller is difficult because the plant is nonlinear and no stationary. Furthermore, it deals with the situation where the plant becomes uncontrollable without any restrictive assumptions. In contrast to previous work [1] on the same subject, the number of neural networks has been reduced to only one network. The number of the neurons in a network structure as well as choosing certain design parameters was specified a priori. The computer test results have been presented to show performance of proposed neural controller.

Słowa kluczowe

EN

neural networks; neurocontrollers; control systems; power electronics

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2006
• Tom: Vol. 54, nr 3
• Strony: 335--340
• Opis fizyczny: Bibliogr. 19 poz., 9 rys.

Twórcy

autor

Grzesiak L.M.

autor

Sobolewski J.

• Institute of Control and Industrial Electronics, Department of Electrical Engineering, Warsaw University of Technology. 75 Koszykowa St., 00-662 Warsaw, Poland,

Bibliografia

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