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Sensors 2015, 15(4), 7323-7348; doi:10.3390/s150407323

An Adaptive Supervisory Sliding Fuzzy Cerebellar Model Articulation Controller for Sensorless Vector-Controlled Induction Motor Drive Systems

Department of Electrical Engineering, National Taipei University of Technology, No. 1, Sec. 3, Chung-Hsiao E. Rd., Taipei 10608, Taiwan
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Author to whom correspondence should be addressed.
Academic Editor: Hsiung-Cheng Lin
Received: 13 March 2014 / Revised: 13 March 2015 / Accepted: 16 March 2015 / Published: 25 March 2015

Abstract

This paper presents the implementation of an adaptive supervisory sliding fuzzy cerebellar model articulation controller (FCMAC) in the speed sensorless vector control of an induction motor (IM) drive system. The proposed adaptive supervisory sliding FCMAC comprised a supervisory controller, integral sliding surface, and an adaptive FCMAC. The integral sliding surface was employed to eliminate steady-state errors and enhance the responsiveness of the system. The adaptive FCMAC incorporated an FCMAC with a compensating controller to perform a desired control action. The proposed controller was derived using the Lyapunov approach, which guarantees learning-error convergence. The implementation of three intelligent control schemes—the adaptive supervisory sliding FCMAC, adaptive sliding FCMAC, and adaptive sliding CMAC—were experimentally investigated under various conditions in a realistic sensorless vector-controlled IM drive system. The root mean square error (RMSE) was used as a performance index to evaluate the experimental results of each control scheme. The analysis results indicated that the proposed adaptive supervisory sliding FCMAC substantially improved the system performance compared with the other control schemes. View Full-Text
Keywords: speed sensorless vector control; fuzzy cerebellar model articulation controller (FCMAC); integral sliding surface; Lyapunov theory speed sensorless vector control; fuzzy cerebellar model articulation controller (FCMAC); integral sliding surface; Lyapunov theory
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wang, S.-Y.; Tseng, C.-L.; Lin, S.-C.; Chiu, C.-J.; Chou, J.-H. An Adaptive Supervisory Sliding Fuzzy Cerebellar Model Articulation Controller for Sensorless Vector-Controlled Induction Motor Drive Systems. Sensors 2015, 15, 7323-7348.

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