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船舶六自由度转台电液伺服系统参数整定方法
引用本文:李学斌,黄利华.船舶六自由度转台电液伺服系统参数整定方法[J].武汉造船,2009(3):19-22.
作者姓名:李学斌  黄利华
作者单位:武汉第二船舶设计研究所,武汉430064
摘    要:针对船舶六自由度转台电液伺服系统的参数整定问题,提出一种基于多目标遗传算法和多属性决策的PID参数设计方法,综合考虑了系统超调量、稳定时间和ITAE指标,采用多目标遗传算法求出Pareto最优解。使用客观赋权的信息熵法对最优解的属性进行权值计算,然后采用逼近理想解的排序方法(TOP—SIS)进行多属性决策(MADM)研究。计算了转台电液伺服控制的数值算例,结果表明本文提出的联合方法通用性好,所设计的PID性能优异,适合工程实际应用。

关 键 词:六自由度转台  PID调节器  遗传算法  多目标优化  多属性决策  TOPSIS

On the PID Parameters Tuning in the Electric-hydraulic Servo System
LI Xue-bin,HUANG Li-hua.On the PID Parameters Tuning in the Electric-hydraulic Servo System[J].Wuhan Shipbuilding,2009(3):19-22.
Authors:LI Xue-bin  HUANG Li-hua
Institution:(Wuhan Second Ship Design and Research Institute, Wuhan 430064, China)
Abstract:A new tuning hybrid method was present for PID parameters based on multi-objective optimization technique. Firstly, a non-dominated sorting genetic algorithm Ⅱ was employed to approximate the set of Pareto solution through an evolutionary optimization process. Then a multi-attribute decision making (MADM) approach was adopted to rank these solutions from best to worst and to determine the best solution in a deterministic environment with a single decision maker. A PID design example for 6-DOF simulator electric-hydraulic servo system was given to illustrate the analy- sis process in present study. The ranking of Pareto solution is based on entropy weight and TOPSIS method.
Keywords:6-DOF simulator PID controller  genetic algorithm  multi-objective optimization  multi-attribute decision making  TOPSIS
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