Modifications of mind evolutionary computation and its application in 2-DOF PID controller

Mind evolutionary computation (MEC) is a new optimizing method. It simulates the evolutionary process of human mind to get the solution. This paper proposed two modifications of MEC to improve its performance: self-adaptive normal distribution variance and forbidden zone. The former modification can get more accurate solution, and the later can avoid repetitious computation. Then MEC was applied to optimize the parameters of 2-DOF PID controller of steam pressure control system in power plant. Simulations prove that the 2-DOF PID controller optimized by the modified MEC has good command tracking and disturbance rejection characteristics.