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ANN Sensorless Control of Induction Motor with FLC-FNN Controller  

Choi, Jung-Sik (순천대 공대 전기공학과)
Ko, Jae-Sub (순천대 공대 전기공학과)
Chung, Dong-Hwa (순천대 공대 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.55, no.3, 2006 , pp. 117-122 More about this Journal
Abstract
The paper is proposed artificial neural network(ANN) sensorless control of induction motor drive with fuzzy learning control-fuzzy neural network(FLC-FNN) controller. The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also this paper is proposed. speed control of induction motor using FLC-FNN and estimation of speed using ANN controller. The back Propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed so that the actual state variable will coincide with the desired one. The proposed control algorithm is applied to induction motor drive system controlled FLC-FNN and ANN controller, Also, this paper is proposed the analysis results to verify the effectiveness of the FLC-FNN and ANN controller.
Keywords
Induction Motor Drive; FLC-FNN; ANN; BPA; Speed Estimation;
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