Robust Resilient Adaptive Control of Aero-engine Based on Parametric Perturbation Model

Aero-engine´s characteristics vary with flight conditions and operating states. In complex operating environments, both model uncertainty and controller parameter variation exist simultaneously, which greatly affect the control performance in the whole flight envelope. Therefore, a robust elastic adaptive control method based on parameter perturbation model is proposed in this paper. The structural model of aero-engine parameter perturbation is established. Then, aiming at the uncertainty of the controlled object model and the perturbation of controller gain, the robust resilient adaptive control law is designed when the gain perturbation is bounded but the upper bound is unknown by using Lyapunov stability theory and linear matrix inequality constraints, and the controller design problem is transformed into a feasible solution problem of linear matrix inequalities. The controller design only depends on the existence of the solution matrix of linear matrix inequalities, and the stability of the algorithm is proved. On this basis, the control simulation of different operating states of the engine in the flight envelope is carried out. The simulation results show that the adjustment time is less than 1.8 s and the overshoot is less than 5%, which indicates good stability and control performance of the designed controller.