Disquisition To Parameter Optimization Of Control System

The paper study the way of optimizing PID controller parameters, it affects directly results of control and has in touch with safety, economy. As the general method, simplex method is widely used in thermoprocess control system. But it is sensitive to initial value and gets easily into partial optimum parameters, leads to failure. So we bring forward optimization method based on expert system and Genetic Algorithms, and optimize PID controller parameters of single- variable, muitivariable, nonlinearity system by using these methods. The simulation result gives the possibility and the practicability of optimized parameters with Genetic Algorithms and expert system. In the end, we improve on Genetic Algorithms, and put forward mixed Genetic Algorithms. Liu Na(Control Theory and Control Engineering )Directed by prof. Han pu...