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Proceedings Paper

The control algorithm improving performance of electric load simulator
Author(s): Chenxia Guo; Ruifeng Yang; Peng Zhang; Mengyao Fu
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Paper Abstract

In order to improve dynamic performance and signal tracking accuracy of electric load simulator, the influence of the moment of inertia, stiffness, friction, gaps and other factors on the system performance were analyzed on the basis of researching the working principle of load simulator in this paper. The PID controller based on Wavelet Neural Network was used to achieve the friction nonlinear compensation, while the gap inverse model was used to compensate the gap nonlinear. The compensation results were simulated by MATLAB software. It was shown that the follow-up performance of sine response curve of the system became better after compensating, the track error was significantly reduced, the accuracy was improved greatly and the system dynamic performance was improved.

Paper Details

Date Published: 23 January 2017
PDF: 11 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103224L (23 January 2017); doi: 10.1117/12.2265969
Show Author Affiliations
Chenxia Guo, North Univ. of China (China)
Automatic Test Equipment and System Engineering Research Ctr. of Shanxi Province (China)
Ruifeng Yang, North Univ. of China (China)
Automatic Test Equipment and System Engineering Research Ctr. of Shanxi Province (China)
Peng Zhang, North Univ. of China (China)
Automatic Test Equipment and System Engineering Research Ctr. of Shanxi Province (China)
Mengyao Fu, North Univ. of China (China)
Automatic Test Equipment and System Engineering Research Ctr. of Shanxi Province (China)


Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)

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