摘要
机载光电平台存在来自于摩擦、质量不平衡、运动耦合和机载环境等干扰,传统的PID控制器控制性能差,抗干扰能力弱。针对这一问题,设计了一种动态性能好、鲁棒性强的分数阶控制器;同时提出一种基于改进速度和惯性权重的粒子群算法整定分数阶控制器的5个参数。仿真实验表明:改进后的粒子群算法拥有更快的收敛速度,求解更加精确;光电平台速度环控制系统超调量降低至0.13%,正弦扰动隔离度较标准算法提高64.06%,响应速度和鲁棒性大大提高。
The airborne optoelectronic platform suffers from interference such as friction,mass imbalance,motion coupling and airborne environment.The traditional PID controller has poor control performance and weak anti-interference ability.To solve this problem,a fractional order controller with good dynamic performance and strong robustness is designed.At the same time,a Particle Swarm Optimization(PSO)algorithm based on the improved velocity and inertia weight is proposed to adjust the five parameters of the fractional order controller.The simulation results show that the improved PSO algorithm has faster convergence rate and more accurate solution.The overshoot of the speed-loop control system of the optoelectronic platform is reduced to 0.13%,the isolation of sinusoidal disturbance is 64.06%higher than that of the traditional PSO algorithm,and the response speed and robustness are greatly improved.
作者
王华超
李伟
赵克军
沈晓洋
WANG Huachao;LI Wei;ZHAO Kejun;SHEN Xiaoyang(Science and Technology on Electro-Optical Control Laboratory,Luoyang 471000,China;Luoyang Institute of Electro-Optical Equipment,AVIC,Luoyang 471000,China;The Second Air Force Representative Office of Air Force Armament Department Stationed in Luoyang,Luoyang 471000,China)
出处
《电光与控制》
CSCD
北大核心
2023年第4期83-87,共5页
Electronics Optics & Control
关键词
机载光电平台
分数阶控制
改进粒子群算法
抗干扰
airborne optoelectronic platform
fractional order controller
improved PSO algorithm
anti-interference
