基于遗传算法优化PID的固定翼无人机俯仰控制设计  

Design of Fixed-wing UAV Pitch Control Optimized Based on Genetic Algorithm

作　　者：夏知胜 陈诚 杨爱斌 XIA Zhisheng;CHEN Cheng;YANG Aibin

机构地区：[1]沈阳航空航天大学航空宇航学院,沈阳110136

出　　处：《科技创新与应用》2023年第34期41-44,共4页Technology Innovation and Application

摘　　要：为保证固定翼无人机具有优秀的姿态控制效果,对固定翼无人机的数学模型横纵解耦,获得无人机的纵向通道数学模型,针对固定翼无人机的俯仰角进行控制设计,分别使用Z-N法对PID整定和使用遗传算法对PID参数寻优。仿真结果表明,使用遗传算法优化后PID控制器,得到优秀的俯仰控制效果,并且优于传统的PID整定法,证明使用遗传算法优化PID参数可以应用于固定翼无人机的姿态控制当中。In order to have excellent attitude control effect of fixed-wing UAV,the mathematical model of fixed-wing UAV is decoupled horizontally and longitudinally,the mathematical model of longitudinal channel of fixed-wing UAV is obtained,and the pitch angle of fixed-wing UAV is designed.Z-N method is used to tune PID and genetic algorithm is used to optimize PID parameters.The simulation results show that the genetic algorithm is used to optimize the PID controller,and the excellent pitch control effect is obtained,which is better than the traditional PID tuning method.It is proved that the genetic algorithm can be used to optimize the PID parameters in the attitude control of fixed-wing UAV.

关 键 词：固定翼无人机 遗传算法 PID 飞行器控制与仿真 误差值 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]