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Fuzzy neural network sliding-mode position controller for induction servo motor drive

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2 Author(s)
Wai, R.-J. ; Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan ; Lin, F.-J.

A sliding-mode controller with an integral-operation switching surface is adopted to control the position of an induction servomotor drive. Moreover, to relax the requirement for the bound of uncertainties, a fuzzy neural network (FNN) sliding-mode controller is investigated, in which the FNN is utilised to estimate the bound of uncertainties in real-time. The theoretical analyses for the proposed FNN sliding-mode controller are described in detail. In addition, to guarantee the convergence of tracking error, analytical methods based on a discrete-type Lyapunov function are proposed to determine the varied learning rates of the FNN. Simulation and experimental results show that the proposed FNN sliding-mode controller provides high-performance dynamic characteristics and is robust with regard to plant parameter variations and external load disturbance. Furthermore, compared with the sliding-mode controller, smaller control effort results, and the chattering phenomenon is much reduced by the proposed FNN sliding-mode controller

Published in:

Electric Power Applications, IEE Proceedings -  (Volume:146 ,  Issue: 3 )