An Improved Design of Intelligent Controller Based on Pattern Recognition

In this paper we added a revising variable that reflect the system stability based on the control algorithm of the intelligent controller based on the pattern recognition to optimize the relevant performance indexes of the control system. Applying the fuzzy control theory to quantify the stability of system, a improved design method of intelligent controller based on the pattern recognition was advanced. The simulation results shown that, comparing with the optimized PID controller and the general controller based on pattern recognition, the control effect of the improved intelligent controller is improved in control indexes such as IAE integrating index, Overshoot and Response Time etc. The improved controller has better adaptability when the parameter and structure of the controlled object changed.