Transition Stage Control of Tail-Sitter Aircraft Based on Guardian Maps
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Abstract:
To deal with the high nonlinearities and strong couplings in the transition stage of tail-sitter aircraft, an adaptive gain-scheduling controller is proposed by combining the guardian maps theory and H∞ control theory. This method is applied to track the flight-path angle of the transition stage of tail-sitter aircraft, and compared with the linear quadratic regulator(LQR) method based on traditional gain scheduling. Simulation results show that the controller based on the guardian maps theory can autonomously schedule the appropriate control parameters and accomplish the stable transition. Besides, the proposed method shows better tracking performance than the LQR method based on traditional gain scheduling.
ZHANG Yong, CHEN Xinyi. Transition Stage Control of Tail-Sitter Aircraft Based on Guardian Maps[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2020,37(2):322-331