The control algorithm improving performance of electric load simulator

Chenxia Guo; Ruifeng Yang; Peng Zhang; Mengyao Fu

doi:10.1117/12.2265969

23 January 2017 The control algorithm improving performance of electric load simulator

Chenxia Guo, Ruifeng Yang, Peng Zhang, Mengyao Fu

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103224L (2017) https://doi.org/10.1117/12.2265969
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

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.

Citation Download Citation

Chenxia Guo, Ruifeng Yang, Peng Zhang, and Mengyao Fu "The control algorithm improving performance of electric load simulator ", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103224L (23 January 2017); https://doi.org/10.1117/12.2265969

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