NDLI: Research on predictive control for PMSM based on online parameter identification

Content Provider	IEEE Xplore Digital Library
Author	Wang Weihua Xiao Xi
Copyright Year	2012
Description	Author affiliation: Dept. of Electrical Engineering, Tsinghua University, China (Wang Weihua; Xiao Xi)
Abstract	Traditional PI controller has received a wide application for its simple structure and reliability. However, its proportion and integration parameter generally cannot be set too large to avoid overshoot. This restriction leads to degradation of dynamic performance, which is not expected in high-performance servo system. Therefore, searching for new control strategies is a trend to improve the dynamic performance at the same time to prevent appearance of overshoot. Predictive control strategy, which is based on the controlled object mathematical model, can achieve the theoretically fastest dynamic response. However, there is an inherent defect that it relies on the accurate mathematical model of the controlled object, which is usually difficult to obtain. Specific to high-performance servo system, real-time change of parameters of servo motor may occur, coupled with some non-ideal characteristics. All these factors restrict the predictive control strategy to play its best function. Aiming to improve the dynamic performance of permanent magnet synchronous motor servo system, this paper presents a predictive current control strategy based on on-line parameter identification of PMSM. Model reference adaptive system (MRAS) is employed to identify the parameters of PMSM. Based on the recognition results, predictive control strategy is adopted to control the dq axis current of the permanent magnet synchronous motor. In this way, the interference of parameter error is eliminated and perfect dynamic performance of the current loop is expected. Simulation and experimental results show that the predictive control method proposed here achieves very excellent dynamic response without overshoot. In addition, the automatic recognition of parameters leads to good robustness of the whole system.
Starting Page	1982
Ending Page	1986
File Size	1391346
Page Count	5
File Format	PDF
ISBN	9781467324199
ISSN	1553572X
e-ISBN	9781467324212
e-ISBN	9781467324205
DOI	10.1109/IECON.2012.6388898
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servomotors Pulse width modulation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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