LQR Controller for Longitudinal Control Augmentation System of Aircraft Based on Hybrid Genetic Algorithm

It is necessary to manually design different controller at different trim points during the process of designing the longitudinal control augmentation system of aircraft. Therefore, the process of designing whole system is labor-intensive and time-consuming. To solve this problem, this paper proposes a method for designing LQR controller based on hybrid genetic algorithm. This method can automatically design LQR controller that is suitable for the current flight environment at different trim points. In this way, the method can replace human to design longitudinal control augmentation system. The simulation result indicates that the performance of LQR controller designed by this method is better than manually designed controller. Therefore, it can be consider that this hybrid genetic algorithm can take over the work of designing longitudinal control augmentation system without aid of human.