Research On Model-based Thrust Estimation And Compensation Method Of Aeroengine

The performance degradation of aeroengine components will seriously affect the performance of the whole aircraft,resulting in insufficient thrust of the engine and the decline of the combat capability of the aircraft.Due to the deviation between the simulation model and the actual engine and the complexity of the model and algorithm,the engine state evaluation and performance optimization based on the model are limited in practical application.Therefore,it is of great significance to carry out the research on high-precision real-time model modeling method and advanced parameter estimation algorithm.In this paper,a dual rotor turbofan engine is studied,the application of Kalman filter in the performance degradation estimation of engine components is studied,the airborne adaptive model which can track the real state of engine in real time is established,and on this basis,the thrust compensation control method is studied.The specific work is as follows:Firstly,aiming at the problem that the nonlinear model of aeroengine component level has large error with the actual engine,a method of model modification of Aeroengine Based on interior point optimization algorithm is proposed.The method makes the model calculation result consistent with the whole engine test data by defining the component characteristic modification coefficient.The result shows that the method can improve the model accuracy obviously.Secondly,based on the component level model,the state variable model is established.Combined with the standard Kalman filter algorithm,the airborne adaptive model in the flight envelope is established.The results show that this method can accurately estimate the degradation degree of single component and dual component performance,but when there are many parameters to be estimated,the estimation accuracy is significantly reduced.Thirdly,in order to solve the problems of large error between linear model and nonlinear system,which leads to the decline of parameter estimation accuracy,and the complexity of component level nonlinear model leads to the difficulty of real-time performance,this paper improves the modeling method of balanced manifold expansion model of multi input multi output system,and proposes a parameter combining balanced manifold expansion model and nonlinear Kalman filter algorithm The results show that this method can estimate multiple degradation factors in real time with high accuracy.At last,the thrust compensation methods based on PI control of outer loop and BFGS internal point optimization algorithm are designed respectively.Both methods can restore the thrust to normal level in the regulation range designed in this paper.In addition,the method based on outer loop PI control has good real-time performance,but the compensation range is limited;the method based on BFGS internal point optimization algorithm can adjust the speed,fan / compressor guide vane angle and tail nozzle roar area at the same time,and the compensation range is wide,but it is only suitable for off-line optimization and quasi steady process.