Aiming at the control of the operating point switching process in the tilt-wing aircraft transition mode,a tabu and annealing hybrid particle swarm optimization(TAHPSO)algorithm is proposed to optimize the fuzzy PID control strategy for the transition switching dynamic control of tilting wing aircraft.This control strategy combines fuzzy control with anti-shake switching control.The standard particle swarm optimization(PSO)algorithm is combined with tabu search and annealing mechanism.The algorithm is used to optimize the fuzzy PID control parameters,strengthen the global optimization ability and improve the control efficiency.In order to verify the effectiveness of the control strategy,a simulation model of the tilt-wing aircraft transition mode is established in this paper.The simulation results show that the control strategy can reduce the maximum height fluctuation of tilt-wing aircraft in transition mode by 40%,the maximum jitter amplitude of rotor pull at switching time by 70%,and the maximum jitter amplitude of elevator additional lift by 86.3%,the control strategy improves the control stability of the system.
维普
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