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Method of Designing Missile Controller Based on Multi-Objective Optimization
作者姓名:林波  孟秀云  刘藻珍
作者单位:School of Mechatronic Engineering Beijing Institute of Technology,School of Mechatronic Engineering,Beijing Institute of Technology,School of Mechatronic Engineering,Beijing Institute of Technology,Beijing 100081 China,Beijing 100081 China,Beijing 100081 China
基金项目:Sponsored bythe Ministerial Level Advanced Research Foundation(320010401)
摘    要:Generally,the process of designing missile con-trol systeminvolves a great deal manual modificationsand trials in order to meet all the design specifica-tions ,such as robust stability, noise rejection, dy-namic response , steady tracking error , etc . So thedesignis an opti mization problemin nature . Becausegenetic algorithm(GA) is a search algorithmbased onthe mechanismof natural selection and natural genet-ics and is different from conventional opti mization.GAsearches for a population of…

关 键 词:控制器设计  多目标优化  遗传算法  导弹控制
文章编号:1004-0579(2006)02-0152-04
收稿时间:2004-09-15

Method of Designing Missile Controller Based on Multi-Objective Opti mization
LIN Bo,MENG Xiu-yun and LIU Zao-zhen.Method of Designing Missile Controller Based on Multi-Objective Optimization[J].Journal of Beijing Institute of Technology,2006,15(2):152-155.
Authors:LIN Bo  MENG Xiu-yun and LIU Zao-zhen
Affiliation:School of Mechatronic Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Mechatronic Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Mechatronic Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract:A method of designing robust controller based on genetic algorithm is presented in order to overcome the drawback of manual modification and trial in designing the control system of missile. Specification functions which reflect the dynamic performance in time domain and robustness in frequency domain are presented, then dynamic/static performance, control cost and robust stability are incorporated into a multi-objective optimization problem. Genetic algorithm is used to solve the problem and achieve the optimal controller directly. Simulation results show that the controller provides a good stability and offers a good dynamic performance in a large flight envelope. The results also validate the effectiveness of the method.
Keywords:controller design  multi-objective optimization  genetic algorithm
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