An Auto-Adaptive GA-PID Control Method Based on CMAC Net

Wei Qiang Yue; Li Qiang Jin; Chuan Xue Song

doi:10.4028/www.scientific.net/AMR.219-220.1139

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220An Auto-Adaptive GA-PID Control Method Based on...

An Auto-Adaptive GA-PID Control Method Based on CMAC Net

Abstract:

This paper aimed at solving the difficulty of nonlinear process control by classical PID controller. The author structured a GA-PID controller taking advantage of the multipoint optimizing and fast compute speed of GA, which can get the optimal PID parameters by on-line turning. At the same time, the author introduced a CMAC feed-forward controller which make full use of the high precision to approach nonlinearly object of CMAC. Combine them, a concurrent pattern control method appear, which synthesize advantages of two controllers and is more fit for nonlinear process. The simulation result indicated that the method has high accuracy and good robustness.

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Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

1139-1144

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.1139

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Online since:

March 2011

Authors:

Wei Qiang Yue, Li Qiang Jin, Chuan Xue Song

Keywords:

Auto-Adaptive PID, CMAC Neural Network, Genetic Algorithm (GA), Nonlinear System

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