Design of fuzzy neural network controller optimized by GA for ball and plate system

Authors:
Xiucheng Dong;Zhang Zhang;Jiagui Tao
Affiliations:
Provincial Key Lab on Signal and Information Processing, Xihua University, Chengdu, Sichuan, China;Provincial Key Lab on Signal and Information Processing, Xihua University, Chengdu, Sichuan, China;Provincial Key Lab on Signal and Information Processing, Xihua University, Chengdu, Sichuan, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Year:
2009

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Abstract

Ball and plate system is a typical multi-variable plant, which is the extension of the traditional ball and beam problems. GA Fuzzy Neural Network Control (GA-FNNC) scheme is introduced for the stabilization problem at the designed point for the ball and plate system. The simulation result is fine, especially near the stabilization point, which embody the nice characters of the GA-FNNC scheme, such as high accuracy, no oscillation and no overshoot. This control scheme is compared with fuzzY control scheme in the experiment, the result shows that our scheme has better control performance.