Neutral Network Based Optimal PID Controller over Whole Envelope for an Aero-engine

An aero-engine optimal PID control scheme was presented, which was suitable for the engine whole envelope with a neural network approximation. Firstly, the optimal PID controller parameters were designed by genetic algorithm(GA) for a certain turbofan engine simplified real-time simulation model around some design-points. Then according to these optimized PID controller parameters, a neural network approximation was trained to imitate the relation between the parameters(Kp, Ki, Kd) of local optimal controllers and the flight conditions(H, Ma), so that a neutral network based optimal PID controller was obtained. Finally, this new controller was applied to a certain turbofan engine control system simulation for the steady control, acceleration control and whole flight envelope control. The simulation results show that the aero-engine control system has excellent characteristics in design points and whole flight envelope. In this approach, the controller has a simple structure, and is easy and practical for real