Application Research of Fuzzy Neural Network Controller Based on Ant Colony Optimizatio

Aiming at the shortages of the traditional PID control mode,the paper proposed a new(control) strategy for permanent magnetism synchronous motor,namely using ant colony optimization(algorithm) to optimize three factors k_a,k_b,k_u of fuzzy neural network controller of overall system,and gave(mathematical) model of permanent magnetism synchronous motor,introduced design of fuzzy neural(network) controller in details,analyzed ant colony optimization algorithm and made simulation experiment at last.The simulation result showed that the speed-regulation system of permanent magnetism(synchronous) motor with fuzzy neural network controller based on ant colony optimization had strong(robustness) and adaptivity,faster dynamic response,which could better follow load variation.