Intelligent Control Strategy for Complex Industrial Process with Uncertainty

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Abstract:

In order to solve control puzzle of complicated characteristics for complex industrial object, the paper proposed an intelligent control strategy. First it made the anatomy and pointed out that the conventional control strategy is unsuitable to control the complex process. Based on comparison among control strategies, first it made decomposition and coordination for complex process, and then selected intelligence based control strategies, finally adopted human simulation intelligence based control algorithm to implement the optimization control of complex process with uncertainty. The simulation effect demonstrated that it is faster in response, high in control accuracy, and strong in robustness. The simulation shows that it is a wise choice to apply the intelligent control strategy for complex industrial process with uncertainty.

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343-347

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Feng Guoliang. Analysis on Control Strategy for a Kind of Uncertain Complexity System. Chinese Journal of Chongqing University (Natural Science Edition), 2003, 26(1): 4-7.

Google Scholar

[2] Yang Zhi. Complex Correlation System Control Based on Human Simulation Intelligence. Chinese Journal of Chongqing University (Natural Science Edition), 2002, 25(7): 9-11.

Google Scholar

[3] Li Taifu, Yang Zhi. Analysis on Correlation Problem with Control of Uncertain Systems, Chinese Journal of Chongqing University (Natural Science Edition), 2002, 25(2): 19-23.

Google Scholar

[4] Guo Bin. A Kind of Automation Tracing System Based on Human Simulation Intelligence. Proceedings of Automation Science Technology and Application, Chinese Electronic Industry Press, 2001, pp: 42-46.

Google Scholar