DESIGN OF PSO FUZZY NEURAL NETWORK CONTROL FOR BALL AND PLATE SYSTEM

作者：Dong Xiucheng^*; Zhao Yunyuan; Xu Yunyun; Zhang Zhang; Shi Peng

来源：International Journal of Innovative Computing Information and Control, 2011, 7(12): 7091-7103.

• Ball and plate
• Fuzzy neural network
• PSO algorithm
• PID

The ball and plate system is a typical multi-variable plant, which is the extension of the traditional ball and beam problems. Particle swarm optimization algorithm fuzzy neural network control (PSO-FNNC) scheme is introduced for the ball and plate system. The fuzzy neural network (FNNC) is optimized by the offline particle swarm optimization (PSO) of global searching ability, and the online radius basis RBF) algorithm ability of local searching. Then, the optimized fuzzy RBF neural network (FRBF) tuned PID controller. The simulation results demonstrate the potential of the proposed technique, especially tracking speed, tracking accuracy and robustness, is improved obviously, which embodies the nice characters of the PSO-FNNC scheme.

• 出版日期2011-12
• 单位西华大学