基于遗传算法的红外点源目标模拟器测速系统的关键技术  

Key Technology for Speed Control System of Novel Infrared Target Simulator Based on Genetic Algorithm

作　　者：贾克 唐智勇[1] 王晶东[2] 王旭[2] 李英[1] JIA Ke;TANG Zhiyong;WANG Jingdong;WANG Xu;LI Ying(School of Optoelectronic Engineering,Changchun University of Science and Technology,Changchun 130022;School of Mechatronic Engineering,Changchun University of Science and Technology,Changchun 130022)

机构地区：[1]长春理工大学光电工程学院,长春130022 [2]长春理工大学机电工程学院,长春130022

出　　处：《长春理工大学学报（自然科学版）》2018年第5期16-19,24,共5页Journal of Changchun University of Science and Technology(Natural Science Edition)

摘　　要：针对红外点源目标模拟器调速系统稳定性和抗干扰性效果不佳的问题,提出了采用遗传算法优化后的模糊PID控制方法对红外点源目标模拟器进行控制的方法。基于调速控制原理,利用PID和PI调节器结合的方法设计双闭环负反馈控制系统,实现了对调速系统的控制。通过改进的遗传算法对模糊PID调节器参数进行寻优整定,并对系统的稳定性能和抗干扰性能做了仿真分析。仿真结果表明,遗传算法寻优设计的模糊PID调节器能够使系统具有良好的速度稳定性、抗干扰性能和较高的控制精度。In view of the poor matching results of the stability and noise immunity for the Novel Infrared Target Simulator speed regulating system,in this paper,the fuzzy PID method to control the Novel Infrared Target Simulator is presented which is optimized by Genetic Algorithm.Based on the principle of speed control,the control system of double closed loop negative feedback is designed with the combination of PID and PI regulator to achieve the control of speed regulation system.The parameter of the fuzzy PID regulator is optimized by improved Genetic Algorithm,and the simulation for stability and anti-interference performance of the system speed is operated.The simulation result shows that the fuzzy PID regulator which is optimized by GA has a better speed stability,anti-interference performance and higher control accuracy.

关 键 词：红外点源目标模拟器 模糊PID 遗传算法 

分 类 号：TP273.1[自动化与计算机技术—检测技术与自动化装置]