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Backstepping Adaptive Fuzzy Control for Permanent Magnet Synchronous Motor Servo Systems

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Abstract:

An adaptive fuzzy controller based on the backstepping method is developed for permanent magnet synchronous motor (PMSM) servo systems with unknown parameters, nonlinear friction and other load torque disturbances. The adaptive fuzzy logic system is used to approximate the nonlinear part of the system online, which can eliminate the influence of uncertainties and nonlinear factors effectively and realize the high-precision position tracking. By adopting the Lyapunov method, it is proved that the position tracking error converges exponentially. Compared with the traditional backstepping adaptive control (BAC), the simulation results show that the backstepping adaptive fuzzy control (BAFC) has better robustness and accuracy.

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Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

1483-1489

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.1483

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Online since:

November 2012

Authors:

Ren Hui Du, Yi Fei Wu, Wei Chen, Qing Wei Chen

Keywords:

Backstepping Adaptive Control, Fuzzy Approximation System, Permanent Magnet Synchronous Motor (PMSM), Position Tracking

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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