NDLI: Adaptive Speed Control of PMSM Based on Wavelet Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Ting-na Shi Xiang-chao Wang Chang-liang Xia Qian Zhang
Copyright Year	2007
Description	Author affiliation: Tianjin Univ., Tianjin (Ting-na Shi; Xiang-chao Wang; Chang-liang Xia; Qian Zhang)
Abstract	There are many difficulties in control of permanent magnet synchronous motor (PMSM) owing to its highly nonlinearity and multivariable characteristics. If using the conventional controller, the uncertainty factors such as the variation of motor parameter and the load disturbance will influence the control precision. To solve this problem, this paper presents an approach of adaptive speed control for PMSM based on wavelet neural network (WNN). This approach takes advantage of the wavelet function with its approximating ability and fast convergence property. It constructs speed controller by the network that has been trained off-line and regulates network's parameters in the course of controlling in order to adapt to the change of the environment. In addition, the system constructs another wavelet network to offer gradient parameters by on-line identification, which is used by the control network for its on-line study. The experiment results prove that this approach has lots of advantages such as fast response speed, high control precision and strong robustness.
Starting Page	2842
Ending Page	2847
File Size	2837030
Page Count	6
File Format	PDF
ISBN	9781424407545
DOI	10.1109/ISIE.2007.4375063
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-04
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Velocity control Neural networks Stators Torque control Three-term control Control systems Robust control Automatic control
Content Type	Text
Resource Type	Article

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