Adaptive Low-speed Control of Permanent Magnet Synchronous Motors

Abstract

Most servo control systems generally adopt incremental optical encoders for speed detection when considering cost and performance requirements. For a fixed sampling period, this kind of encoder along with the generally used so-called M method, may degrade the response or even cause the system to become unstable in a low-speed operating region because of the resulting speed detection delay. In this article, a reference model improves low-speed responses; parameter identification by recursive least square error algorithm overcomes the problem of parameter variations and an adaptive proportional-integral control strategy based on the parameter identification results further justifies the proposed method. A digital signal processor based permanent magnet synchronous motor drive will be used to carry out the experimental results, which show the effectiveness of the proposed method.

Keywords:

• reference model
• adaptive control
• recursive least square error algorithm

Acknowledgment

The authors would like to express their appreciation to the National Science Council in Taiwan for their support under contracts NSC 96-2221-E-218-042-MY3 and NSC 98-2623-E-006-002-IT and to the Ministry of Economic Affairs under contract 99-EC-17-A-05-S1-103.