Double variable PID decoupling control of turbofan engine based on RBF neural network identification

According to the concept of combining the neural network and PID in solving the problem of coupling in turbofan engine double-variable control system, double variable PID decoupling control method for turbofan engine based on RBF neural network identification was presented in this paper. The structure of engine decoupling control system, as well as its decoupling principle was given. Simulation of the control system was performed and excellent tracking performance and robustness were obtained. The simulation results show that the method can effectively reduce the coupling influence of each control loop and assure satisfactory transient performance, thus it is suitable for the aero-engine control.