Advanced Predictive Control for Aircraft Guidance

Abstract In this paper, a supervised extension of the Generalized Predictive Control (GPC) is proposed. Its main purpose is to improve the robustness towards modeling errors. First, the SISO case is developed and applied to the adaptive control of the flight path angle of a fighter aircraft. A high-performance Recursive Least Squares (RLS) estimator and a model-based estimator are also compared. Finally, the SISO algorithm is extended to the 2 input-2 output case and applied to the lateral control of a large transport aircraft.