Study on Active Disturbance Rejection Control of Inlet Pressure Based on BPNN Parameter Tuning

Aiming at the urgent requirements for the strong immunity proposed by the transient state tests of aero-engine high-altitude test facility for the flight environment simulation intake pressure control system, this paper analyzes the characteristics of the intake pressure control system, and proposes an intake pressure active disturbance rejection control method based on back propagation neural network (BPNN) parameter tuning. The method adjusts the parameters of the extended state observer (ESO) online to improve the anti-interference ability of the controller. Through simulation experiments, the ADRC based on back propagation neural network (BPNN-ADRC) is compared with the conventional ADRC. The results show that the control effect of BPNN-ADRC is better, and it is more helpful to improve the dynamic response speed, control precision and anti-disturbance ability of intake environment simulation.