Lévy flight based pigeon-inspired optimization for control parameters optimization in automatic carrier landing system

In this paper, we conduct the design of the automatic carrier landing system (ACLS) for aircraft, which can integrates the aircraft flight control system, throttle control system, inertial navigation sensors, and shipboard AN/SPN-42 tracking radar and computer system to achieve fully automatic approach control to the carrier deck in all weather conditions. In order to obtain the better dynamic response of the longitude command, a novel control parameter design method is presented for the automatic carrier landing system. To overcome difficulties in the manual parameter adjustment task, the Lévy flight based pigeon-inspired optimization (PIO) algorithm is utilized by converting the parameter design problem to an optimization problem. To optimize control parameters in the H-Dot autopilot and the approach power compensation system, a weighted linear cost function in the time domain is adopted. Series of experiments are conducted to demonstrate the feasibility and effectiveness of our method. Comparative results indicate that our method is much better than other methods. With the help of the optimization algorithm, ACLS can have better performance in dynamic responses.