关键词: 倾转旋翼机, 飞行控制系统, 平稳过渡, 杂交粒子群, 神经网络

Abstract: Aiming at the problem that the transition process of tiltrotor aircraft is extremely unstable in conversion mode and the control system is difficult to design, the scheme of smooth transition control system for tiltrotor aircraft is studied. The structure of the smooth transition control system is designed, and the improved neural network PID control law based on hybrid particle swarm optimization is proposed, and then the specific flow of the control algorithm is given. Simulation validation is carried out based on XV-15 tilt-rotor aircraft model. The results show that the proposed method is smoother than the curve obtained by the BP neural network PID method, there is no large amplitude oscillation, and the expected control effect is achieved.

Key words: tiltrotor aircraft, flight control system, smooth conversion, hybrid particle swarm, neural network