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http://dx.doi.org/10.6113/JPE.2014.14.5.980

Sliding Mode Control of SPMSM Drivers: An Online Gain Tuning Approach with Unknown System Parameters  

Jung, Jin-Woo (Division of Electronics and Electrical Engineering, Dongguk University)
Leu, Viet Quoc (Division of Electronics and Electrical Engineering, Dongguk University)
Dang, Dong Quang (Division of Electronics and Electrical Engineering, Dongguk University)
Choi, Han Ho (Division of Electronics and Electrical Engineering, Dongguk University)
Kim, Tae Heoung (Division of Electronics and Electrical Engineering, Dongguk University)
Publication Information
Journal of Power Electronics / v.14, no.5, 2014 , pp. 980-988 More about this Journal
Abstract
This paper proposes an online gain tuning algorithm for a robust sliding mode speed controller of surface-mounted permanent magnet synchronous motor (SPMSM) drives. The proposed controller is constructed by a fuzzy neural network control (FNNC) term and a sliding mode control (SMC) term. Based on a fuzzy neural network, the first term is designed to approximate the nonlinear factors while the second term is used to stabilize the system dynamics by employing an online tuning rule. Therefore, unlike conventional speed controllers, the proposed control scheme does not require any knowledge of the system parameters. As a result, it is very robust to system parameter variations. The stability evaluation of the proposed control system is fully described based on the Lyapunov theory and related lemmas. For comparison purposes, a conventional sliding mode control (SMC) scheme is also tested under the same conditions as the proposed control method. It can be seen from the experimental results that the proposed SMC scheme exhibits better control performance (i.e., faster and more robust dynamic behavior, and a smaller steady-state error) than the conventional SMC method.
Keywords
Fuzzy Neural Network Control (FNNC); Sliding Mode Control (SMC); Speed Control; Surface-mounted Permanent Magnet Synchronous Motor (SPMSM); System Parameter Variations;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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