不确定性的自适应跟踪补偿控制 及在航空发动机的应用

A new augmented model reference adaptive compensation control method was developed, in order to improve the control performance degradation caused by the uncertainty of the multivariable system. Firstly, a basic controller was established with the optimal LQR control law to optimize the performance of the system. And then the optimal LQR basic controller was improved under the feedback control structure to improve the dynamic tracking and anti-interference performance of the system. Finally, the simulation of the controller was carried out with a certain type of double rotor turbo-fan engine. The simulation results showed that the LQR basic controller improved by the augmented model reference adaptive compensation method realizes the tracking compensation to the uncentainty, the tracking of the control command and reaches the desired response performance with control error less than 0.25%, over shoot less than 0.5% and response time less than 1.5s. This improved LQR basic controller satisfies the technical requirements of the aero-engine control system. Meanwhile, this new adaptive compensation method improves the performance of the original basic controller with the uncertainty and ensures that the system is uniformly asymptotically stable.