NDLI: Evaluating generalized predictive control for a brushless DC drive

Content Provider	IEEE Xplore Digital Library
Author	Kay-Soon Low Koon-Yong Chiun Keck-Voon Ling
Copyright Year	1986
Abstract	This paper proposes a new control approach for a brushless DC motor drive using the generalized predictive control (GPC) algorithm. Based on the same least-squares framework as in the controller design, we further develop the method to design an observer. The GPC algorithm uses the receding horizon approach whereby the control signals are determined by minimizing a quadratic cost function. Our study shows that the rise time and settling time of the servo system have an approximate linear relationship with the prediction horizon. Thus, it is used to tune the controller of the drive. Moreover, the control weighting factor can be used to smooth the controller output. The proposed algorithm has been implemented using a digital signal processor (DSP) and tested in real time with a prototype system. The performance and robustness of the algorithms have been evaluated both in simulation and experiment. The results show that the drive performs reasonably well despite load changes and step changes in the position setpoint. Furthermore, it is fairly robust against motor parameters change.
Sponsorship	IEEE Power Electronics Society
Starting Page	1191
Ending Page	1198
Page Count	8
File Size	236334
File Format	PDF
ISSN	08858993
Volume Number	13
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive control Signal processing algorithms Brushless DC motors Robustness Prediction algorithms Design methodology Cost function Servomechanisms Linear approximation Weight control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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