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基于NSGA-Ⅱ的伺服系统控制参数多目标优化设计
武飞,段丽华,张昆峰
0
(中国空空导弹研究院)
摘要:
针对采用分段式PID控制策略的伺服系统控制参数设计周期长、成本高的问题,提出一种基于快速非支配排序遗传算法(NSGA-Ⅱ)的控制参数多目标优化设计方法。在建立某型伺服系统仿真模型的基础上,选择各区间的PID控制参数为优化变量,以伺服控制系统的3个性能指标作为优化目标,寻找伺服系统控制参数的最优解,并进行仿真与实物实验验证。结果表明,设计的控制参数可以满足伺服控制系统的性能指标要求,大大缩短设计周期,节约设计成本。
关键词:  分段式PID控制策略  伺服系统  快速非支配排序遗传算法  多目标优化设计
DOI:
基金项目:
The Multi-objective Optimization Design of Control Parameters in Servo System Based on NSGA-Ⅱ
WU Fei,DUAN Li-hua,ZHANG Kun-feng
(China Airborne Missile Academy)
Abstract:
A multi-objective optimization design method of servo system control parameters based on fast and elitist Non-dominated Sorting Genetic Algorithm(NSGA-Ⅱ)was proposed to solve the problem of making the design cycle longer and the cost higher,by using the sectional PID control strategy.After servo system simulation model had been established,the unknown control parameters were selected as optimization variables,and three optimal performance indexes of the servo control system were chosen as the optimization goal.The optimal solution was obtained and used in the simulation and physical experiment.The results show that the control parameters based on proposed design method are able to satisfy the requirements of performance of servo control system,greatly shorten the design cycle and save design cost effectively.
Key words:  Sectional PID control strategy  Servo system  NSGA-Ⅱ  Multi-objective optimization design

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