基于遗传算法对PID控制飞行器射程优化

Range Optimal Design with Gene Algorithms for Vehicle Using PID Controller

最大射程是飞行器地面发射试验的重要指标,综合控制与优化算法可对其进行系统设计。首先,根据飞行器动力学方程进行品质分析,确定用短周期参数进行最大射程设计;其次,设定时域目标参数,采用根轨迹方法实现关键时刻飞行器PID控制器调参;然后,以仿真参数为基础,采用遗传算法优化飞行器俯仰角指令;最后,根据综合设计的仿真结果,分析出不同飞行阶段最显著干扰产生的作用,为飞行器动力学性能分析奠定基础。

The synthesis design methods with optimal algorithms and controllers can realize the longest launching range, which is a very important index for the ground test of vehicle. Firstly, flight quality was analyzed according to flight equations, short periodic parameters are confirmed as design objectives. Secondly, setting target parameters in time zones, root locus method was used to design parameters of PID controller, thus based on simulation processes, the optimal pitch angle commands were produced with genetic algorithms （GA）. Lastly, with above design results about controller and optimal commands, the most distinct influences were analyzed at different flight stages, so dynamic analysis of vehicle could be achieved.