An Attitude Control Method for Dual-tail High-speed Aircraft with ESO-based Fuzzy LQR

Dual-tail high-speed aircraft exhibits the strong nonlinearity and strong coupling characteristics, and has a feature of an unstable Dutch roll mode. For the attitude stability and control issues of such aircraft, a dynamic model is established to analyze its control mechanism, and an interpolation scheduling fuzzy linear quadratic regulator (FLQR) based on an extended state observer (ESO) is designed. This controller is suitable for the dual-tail high-speed aircraft characterized by highly nonlinear maneuvering properties and avoids the polarity judgment process of lateral control departure parameter (LCDP). To address the issue that the maneuvering characteristics of the dual-tail high-speed aircraft significantly changes with the aircraft's attitude, a gain-scheduling control strategy based on angle-of-attack interpolation is proposed. For the high uncertainty in the region of LCDP polarity reversal points, the fuzzy control combined with ESO is introduced to enhance the robustness of control system. The feasibility of the underactuated dual-tail configuration is verified through simulation. The results show that the control system is capable of achieving attitude stability and control under the conditions of parameter deviations, external disturbances, and variations in control characteristics.