Mathematical Problems in Engineering
Volume 2010 (2010), Article ID 391846, 13 pages
Research Article

Adaptive Fuzzy Tracking Control for a Permanent Magnet Synchronous Motor via Backstepping Approach

1Institute of Complexity Science, Qingdao University, Qingdao 266071, China
2Shan Dong Province Key Laboratory of Industrial Control Technique, Qingdao University, Qingdao 266071, China
3State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

Received 16 July 2009; Accepted 30 September 2009

Academic Editor: José Balthazar

Copyright © 2010 Jinpeng Yu et al. 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.


The speed tracking control problem of permanent magnet synchronous motors with parameter uncertainties and load torque disturbance is addressed. Fuzzy logic systems are used to approximate nonlinearities, and an adaptive backstepping technique is employed to construct controllers. The proposed controller guarantees the tracking error convergence to a small neighborhood of the origin and achieves the good tracking performance. Simulation results clearly show that the proposed control scheme can track the position reference signal generated by a reference model successfully under parameter uncertainties and load torque disturbance without singularity and overparameterization.