Adaptive Fuzzy Sliding mode Controller for Induction Motor Control

In this paper, an adaptive fuzzy PI-sliding mode control (AFPISMC) is proposed for induction motor (IM) speed control. First, an adaptive sliding-mode controller (APISMC) with a proportional plus integral equivalent control action is investigated, in which a simple adaptive algorithm is utilized for...

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Bibliographic Details
Main Authors: Bousserhane, K., Hazzab, A., Laoufi, A., Rahli, M.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive algorithm
Adaptive control
Control design
Fuzzy control
Induction motors
Pi control
Programmable control
Proportional control
Sliding mode control
Velocity control
Online Access:Request full text
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Summary:In this paper, an adaptive fuzzy PI-sliding mode control (AFPISMC) is proposed for induction motor (IM) speed control. First, an adaptive sliding-mode controller (APISMC) with a proportional plus integral equivalent control action is investigated, in which a simple adaptive algorithm is utilized for generalised soft-switching parameters. The proposed control design uses the fuzzy logic techniques to dynamically control parameter settings of the SMC equivalent control action. The theoretical analyses for the proposed fuzzy PI sliding-mode controller are described in detail. Simulated results show that the proposed controller provides high-performance dynamic characteristics and is robust with regard to plant parameter variations and external load disturbance
DOI:10.1109/ICTTA.2006.1684363