A Model Free Adaptive Scheme for Integrated Control of Civil Aircraft Trajectory and Attitude

Abstract

The adaptive trajectory and attitude control is essential for the four-dimensional (4D) trajectory operation of civil aircraft in symmetric thrust flight. In this work, an integrated trajectory and attitude control scheme is proposed based on the =multi-input multi-output (MIMO) model free adaptive control (MFAC) method. First, the full-form dynamic linearization technique is adopted to build the equivalent data model of aircraft. Also, the MIMO MFAC scheme with saturation constraint is designed to achieve an accurate tracking control for a given 4D trajectory and attitude. Besides, the performance limitations of aircraft are taken into consideration, and the MIMO MFAC scheme with hard constraints is designed. In addition, to improve the simulation efficiency, a control scheme with mixed constraints, i.e., saturation and hard constraints, is further proposed. It can be seen from the simulation results that the proposed method can perform an integrated control of the aircraft 4D trajectory and attitude without precise modeling, and the control performance is better than that of the model-based control method in terms of flight altitude and yaw angle control. The integrated data-driven control scheme proposed in this paper provides a theoretical solution for the precise operation of aircraft under 4D trajectory.

Presynchronization control for ship microgrid of merchant marine inverters based on VSG algorithm with MFAC

“…To ensure the control precision, data-driven control can be employed for the presynchronization control of ship microgrid inverters. One such method is model-free adaptive control (MFAC), which is extensively utilized in the control of wound rotor synchronous machines in wound rotor synchronous machine control (Hashjin et al, 2020), wind farm control (Shi et al, 2020), aircraft trajectory control (Jiang et al, 2021), and other fields in recent years. MFAC creates a dynamic linearization method by utilizing the system inputs and outputs (Xiong and Hou, 2020), which is suitable for presynchronization controller design with the following reasons: (1) accurate mathematical model of controlled system and external testing signals are not required; (2) the MFAC controller has small calculation burden, simple structure, finite-time convergence, and predominant robustness; and (3) the stability of MFAC controller can be guaranteed under reasonable assumptions.…”