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Mathematical Problems in Engineering
Volume 2016, Article ID 1780710, 13 pages
http://dx.doi.org/10.1155/2016/1780710
Research Article

A Novel Online Multivariate Identification for Autotuning Speed Control in PMSM Drives

School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan 430074, China

Received 9 November 2015; Accepted 31 January 2016

Academic Editor: Haipeng Peng

Copyright © 2016 Ke Chen 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.

Abstract

A novel online algorithm to identify the moment of inertia, viscous friction coefficient, and load torque of PMSM (Permanent Magnet Synchronous Motor) drives and a distinctive autotuning speed control scheme are presented. The proposed identification algorithm does not require motors run in a particular trajectory and only needs a short identification time. A Luenberger speed observer is introduced to eliminate noises which are generated by the detection of position signal and to improve the accuracy of identified parameters. Parameters of the speed controller are optimized by analyzing the mathematical model of the system and the formula of the PI controller. Compared to a standard recursive least squares method (RLSM) and traditional PI algorithm, the effectiveness of the proposed identification algorithm and autotuning speed control scheme are validated through simulations and experiments.