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https://hdl.handle.net/2440/100263
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Type: | Journal article |
Title: | Approximation-Based Discrete-Time Adaptive Position Tracking Control for Interior Permanent Magnet Synchronous Motors |
Author: | Yu, J. Shi, P. Yu, H. Chen, B. Lin, C. |
Citation: | IEEE Transactions on Cybernetics, 2015; 45(7):1363-1371 |
Publisher: | IEEE |
Issue Date: | 2015 |
ISSN: | 2168-2267 2168-2275 |
Statement of Responsibility: | Jinpeng Yu, Peng Shi, Haisheng Yu, Bing Chen, and Chong Lin |
Abstract: | This paper considers the problem of discrete-time adaptive position tracking control for a interior permanent mag- net synchronous motor (IPMSM) based on fuzzy-approximation. Fuzzy logic systems are used to approximate the nonlinearities of the discrete-time IPMSM drive system which is derived by direct discretization using Euler method, and a discrete-time fuzzy position tracking controller is designed via backstepping approach. In contrast to existing results, the advantage of the scheme is that the number of the adjustable parameters is reduced to two only and the problem of coupling nonlinearity can be overcome. It is shown that the proposed discrete-time fuzzy controller can guarantee the tracking error converges to a small neighborhood of the origin and all the signals are bounded. Simulation results illustrate the effectiveness and the potentials of the theoretic results obtained. |
Keywords: | Backstepping; discrete-time; fuzzy-approximation; permanent magnet synchronous motor (PMSM) |
Rights: | 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information |
DOI: | 10.1109/TCYB.2014.2351399 |
Published version: | http://dx.doi.org/10.1109/tcyb.2014.2351399 |
Appears in Collections: | Aurora harvest 7 Electrical and Electronic Engineering publications |
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