Optimization of Aero-engine H-infinity Robust Controller Based on Quantum Genetic Algorithm

For the problems of strong uncertainty and multi-variable coupling characteristics in the aero-engine control system, a multi-variable H-infinity robust controller is designed based on the mixed sensitivity method. Then for the problem that the selection of the weight function matrices in the H-infinity robust controller design process relies on engineering experience, which result that the designed controller is not optimal, Quantum Genetic Algorithm (QGA) is used to optimize the selection of the weight function matrices to optimize the design of the H-infinity robust controller. In this paper, a new H-infinity robust controller optimized by QGA is designed for aero-engine model. The performance of the H-infinity robust controller before and after optimization is compared through simulation, which shows that the steady-state error and adjustment time of the optimized controller are reduced, and the decoupling effect is also enhanced.