Aeroengine Control And Verification Based On Active Disturbance Rejection

Aero-engine is a highly complex propulsion device,which represents the level of national industrial development.Due to its complex structure,changeable working environment and wide flight envelope,there are strict requirements for the controller.In order to improve the performance of aero-engine,this paper has carried out research on related advanced control algorithms.In this paper,the performance of turbofan engine is optimized by improving the starting control and above-idle state control methods.The specific work arrangement of this paper is as follows:(1)The relevant knowledge of aero-engine component-level modeling is studied.The basic structure of the engine,the calculation process of the component parameters of the nonlinear model and the common working equation are introduced respectively.It involves a lot of knowledge of aerodynamic thermodynamics,volume dynamics and various conservation equations.Based on the minimum loss method,the compressor characteristics are expanded,and the dynamic simulation of the aero-engine starting process is realized,which builds a simulation platform for the follow-up control algorithm research.(2)The rotor acceleration plan is designed based on the improved optimization algorithm,and the research on the full closed-loop tracking control of the aero-engine starting process is completed.First of all,a competitive particle swarm algorithm is introduced to solve the problems of over-limit temperature before turbine and compressor surge during aero-engine start-up.After that,the traditional competitive algorithm is improved in many aspects,and the N-dot closed-loop control plan is studied based on the optimization results.The combination of N-dot idea and ADRC control algorithm enhances the tracking performance of the control system.The research results show that the optimization algorithm ensures the safe fuel supply of the aero-engine,and at the same time shortens the start-up time.The closed-loop control ensures the consistency of the acceleration performance during the starting process,and can quickly respond to the transient performance.(3)The nonlinear model above the aero-engine idle is linearized by the small disturbance method,and the corresponding LPV model is designed by linear fitting on the MATLAB platform.Through the error analysis,it can be seen that the performance of the LPV model and the nonlinear model above the idle speed is consistent.Combining the cascade structure with the ADRC algorithm improves the steady-state disturbance rejection and transient tracking performance of the aero-engine,and at the same time proves that the improved method has strong robustness to model uncertainty.By combining soft switching and gain scheduling,the aero-engine has good control performance at each steady-state single point,and at the same time reduces the switching disturbance between controllers.Finally,a hybrid control strategy that integrates the idea of cascade ADRC-ID,MPC and soft handover is proposed.A stronger control effect is obtained by implementing soft switching between ADRC-PID and MPC.The simulation results show that this scheme has the strong disturbance immunity of ADRC-PID and the fast convergence of MPC.