Research On Performance Recovery Control Method For Aeroengine

Aeroengine will inevitably degrade during its service period,which will degrade the performance of the engine and affect the flight quality of the aircraft.Aiming at the performance degradation of the turbofan engine,the key technologies of performance recovery control are studied in this thesis,and the required thrust can be achieved under the premise of engine safety.First,state variable models of the turbofan engine under the simultaneous degradation of multiple components is studied,and it is developed from its component-level model.An above-idle linear parameter varying engine model is built up on the basis of the state space model.Linear Kalman filter is designed to estimate the engine health parameters and build the self-tuning on board real-time model.An adaptive fitting modeling method is proposed for engine deterioration to slove the problem of low precision of linear model.A thrust estimation method is studied based on the self-tuning on board real-time model,the thrust estimator is designed and simulated.Aeroengine multivariable predictive controller is studied.PI predictive controller and augmented predictive model predictive controller are designed,respectively.The idea of proportional-integral is introduced into predictive control to produce the PI multivariable predictive controller by optimize the objective function.The aeroengine multivariable constrained predictive controller is proposed based on augmented predictive model to solve the performance degradation of model predictive control caused by model mismatch.The command tracking error and variations of system states are augmented as state vectors to yield the predictive model for eliminating tracking errors.Since the restriction protection is essential for aeroengine in practice,the constraint management of the input,the increment of the input and output is carried out to realize the design of the multi-variable constraint predictive controller.Simulation results show that the controller designed provides satisfactory tracking performance in the constrained range of the engine.Based on multi-variable constrained predictive controller for aeroengine,the engine performance recovery control system is designed.The thrust compensation control loop based on PID controller is designed to tune the inner-loop control command to thrust deviation.When it comes to the parameters of the outer-loop PID controller,a Quantum behaved Particle Swarm Optimization-based(QPSO)PID control method is proposed.Simulation results under different performance degradation cases show that the designed performance recovery controller reduces thrust loss caused by performance degradation,and it gains the stability of engine thrust and improved control quality.