Model-free Adaptive Control And Verification For Aero-engines

The aero-engine has the characteristics of the wide working range,changeable working environment,strong nonlinearity and uncertainty,which put forward strict design requirements of its control system.The research work of the aero-engine control system has been widely concerned in the aviation and control application field.Among them,the adaptive control algorithm is considered to be the trend of future development.Therefore,the model-free adaptive control algorithm and hardware-in-the-loop simulation system are studied in this paper,taking a certain type of twin-shaft turbofan engine as the controlled object.Finally,the feasibility of the proposed control algorithm is verified by the hardware-in-the-loop experiment.The main work of this project is as follows.(1)The modeling method for nonlinear mathematical model of aero-engine is studied.After analyzing aero-engine components,the calculation of performance parameters of each component is introduced.Then,under the framework of the component-level modeling method,based on the basic theorems of gas dynamics and thermodynamics,the mathematical model of each component are established.Finally,according to the power conservation equation,energy conservation equation and flow conservation equation,the nonlinear equations of each component are solved at the same time,and the nonlinear mathematical model representing the characteristics of aero-engine is obtained,which is the control object in this paper.(2)The control strategy of aero-engine based on the model-free adaptive control algorithm is studied.Firstly,the aero-engine control scheme is designed,which mainly includes the main loop controller and the executive loop controller.Proportional integral control algorithm is adopted in the actuator controller.Based on the model-free adaptive control algorithm,combining proportional control and anti-saturation method,the main loop controller is obtained.It is also proved that the controller can guarantee the convergence of tracking errors.Finally,it is verified by the numerical simulation.Numerical simulation results show that,compared with the original model-free adaptive control algorithm,the stability and rapidity of this control method are improved in the environment with multiple operating points,noise or time delay.(3)Construction of the hardware-in-the-loop simulation system Firstly,the overall scheme is designed according to the system requirements,and then the hardware composition and software scheme are introduced in detail.The hardware equipment is mainly composed of industrial computer,ordinary computer,reflective memory cards and optical fiber,which is mainly used to provide the running environment for related programs of controller and engine and realize the real-time communication within the control system.The software system mainly consists of model software and monitoring software.The former mainly completes the related operations such as model data communication,model start-stop and operation control,while the latter mainly completes the update and display of model input and output data,the setting of control system input commands,the drawing of operation curve,and the start-stop control of model software.(4)Hardware-in-the-loop simulation experiment is carried out.On the premise of verifying the communication of the system and ensuring the real-time communication of the system,split,package and register the control system after numerical simulation.Then,the model is started by the upper computer monitoring software,and the hardware-in-the-loop test is carried out by giving the throttle lever angle,height,and Mach number.Finally,the real-time performance of the hardware-in-the-loop simulation system and the engineering application value of the modelfree adaptive control method are verified by analyzing the test results.