基于粒子群的高超声速飞行器模糊控制方法

由于采用机体一体化设计,吸气式高超声速飞行器的气动特性难以准确获知,建立的数学模型是极为不准确的。针对这一特点,研究了一种基于粒子群的高超声速飞行器模糊控制方法,利用粒子群算法对模糊控制器参数寻优,使该控制方法具有强鲁棒性,高超声速飞行器在气动模型不确定情况下,依然能够保持很高的控制精度。仿真用高超声速飞行器的纵向模型对该控制器进行了验证,证明该控制方法能够有效地克服气动参数的不确定性,准确地跟踪飞行器的高度和速度指令。

Fuzzy Control for Hypersonic vehicle Based on Particle Swarm Optimization

Because of the airframe/propulsion integrated design, the aerodynamic character and modeling of the hypersonic vehicle is not accurate. According to this character, a fuzzy control for hypersonic vehicle using particle swarm optimization(PSO) is studied. the control method uses PSO algorithm is used to optimize the controller parameters in this method, which makes it being rosbust. Even if the aerodynamic character of the hypersonic vehicle is uncertain, high control accuracy is obtain. Simulation using the longitude model of the hypersonic model is executed. The simulation results show that the controller can track the altitude and velocity command accurately with the effect of the uncertainty of the aerodynamic characters.