Aero-Engine Guide Vane Angle Regulator Iterative Learning Control Method

Aero-engine guide vane angle regulator digital electronic control system performance and reliability of the engine's normal work is very important. In order to obtain optimum engine performance, improve flight reliability, and to ensure the stability of the compressor work is proposed based on iterative learning PID controller, the algorithm uses iterative learning control for desired trajectory tracking control. The aero-engine guide vane control system model is created under AMESim software and the iterative learning controller model is builded in Matlab/Simulink. Simulation results show that the designed controller can achieve the guide vane angle actuator displacement regulator of rapid, accurate track, indicating that the controller design method is feasible and effective.