Sampling Optimal Control Based on Discrete Error Expanded System for Carrier Landing

Abstract

Abstract. The response ability and robust performance of carrier based aircraft landing control system are very high. The existing literature has not considered the discrete sampling of carrier landing control, but in fact the discrete sampling has a great influence on the control performance of the system. In this paper, the error state of the discrete linear system is expanded, and the controller is obtained from the error expanded system. This method is used to design the landing continuous dynamics optimal controller under sampling. The simulation results show that the system has good control effect on initial height deviation correction, ship air wake suppression and model perturbation suppression. And its steady-state accuracy, dynamic performance and robustness are much stronger than the carrier landing engineering PID control, even though PID control has no sampling in simulation. The backside area of landing drag curve and the direct force effect of the elevator will each cause two non-minimum phase zeros for the aircraft dynamics. The sampling optimal control method can eliminate the two zero points, while the PID control can only eliminate the former zero point.

Flight control and airwake suppression algorithm for carrier landing based on model predictive control

“…However, this method was complex in computation and poor in real-time performance. Also, optimal controller has been used to mitigate the influence of carrier airwake (Hariharapura and Shashank, 2015; Ramesh and Subbarao, 2016; Wang et al, 2017), but the strategy of the controller was off-line optimization that could not adapt to the complex landing environment.…”