Modeling Shared Control System Between Human Pilot and Autopilot for a Carrier-Based Aircraft Landing Task

Abstract

This article proposes a shared control system model between the human pilot and autopilot for the special issue of carrier-based aircraft landing task. A key point of the shared and cooperative control is that the decision-sharing system depends on the longitudinal safety boundaries for manual/automatic landing. Two strategies of the human pilot are adopted, including capture strategy and tracking strategy. A hidden model tracking control method is utilized to model the autopilot. To address the issue of frequent switching between the human pilot and autopilot caused by relying solely on safety boundaries to allocate control authority, fuzzy control theory is introduced to reduce the workload of the human pilot. The time-domain simulation results show that considering the fuzzy control, the frequency of switching and the flight states have been improved compared with the results without fuzzy control. Nonlinear pilot-induced oscillation metric evaluation results show that the human-automation shared and cooperative control considering the fuzzy control can alleviate the workload of the human pilot. The shared and cooperative control system model has certain significance in ensuring the safety of carrier-based aircraft landing.