Intelligent Pid Controller Is Applied Research In The Aero-engine Control

Aero-engine was a controlled object with such features as complicated working condition. For such controlled object, classical feedback control theory and optimal control theory can't guarantee optimal performance. In this paper, three new types of method: fuzzy self-learning control-PID, the PID control based on genetic algorithms and the PID control based on grey theory is studied. They all used in the aero-engine transient control.Based on the simulations, we can conclude that the controller possess perfect tracking performance . The references of input are well traced and all of the control systems have good stability and robustness.