摘要
为满足机载光电跟踪系统在低气压环境下的可靠性要求,该文采用永磁同步电机作为驱动结构,建立了电机的矢量控制模型,并结合机载控制平台分析了系统的控制架构。在此基础上,提出了综合考虑超调量、调节时间、跟踪精度的适应度计算公式,利用遗传算法创建模糊控制规则,并设计了模糊PD控制器,从而根据脱靶量信息实时整定控制器参数,完成对跟踪回路的闭环控制。仿真结果表明系统在动态跟踪过程中的性能得到了明显的改善,证明了该方法的有效性。
In order to meet the reliability requirements of the airborne photoelectric tracking system in low-pressure environments,the permanent magnet synchronous motor was used as the drive structure.A vector control model of the motors was established,and the control architecture of the system was analyzed with the airborne control platform.On this basis,a fitness calculation formula that comprehensively considers overshoot,adjustment time,and tracking accuracy was proposed,the fuzzy control rules were created by using genetic algorithm,and the fuzzy PD controller was designed,so that the controller parameters could be adjusted in real time according to the miss distance information,and the closed-loop control of the tracking loop was completed.The simulation results show that the performance of the system in the dynamic tracking process has been significantly improved,which proves the effectiveness of the method.
作者
王晓迪
扈宏杰
WANG Xiao-di;HU Hong-jie(School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China)
出处
《自动化与仪表》
2021年第1期24-27,共4页
Automation & Instrumentation
关键词
机载光电跟踪系统
永磁同步电机
遗传算法
模糊PD控制器
airborne photoelectric tracking system
permanent magnet synchronous motor
genetic algorithm
fuzzy PD controller
