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《Marine Electric & Electronic Engineering》 2009-03
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Multiobjective Optimization and Multi-attribute Decision Making for PID Parameters Tuning in Motor Controller System

LI Xuebin(Wuhan Second Ship Design and Research Institute,Wuhan 430064,China)  
The tuning of PID controller parameters is the most important task in PID design process.A new tuning method is presented for PID parameters based on multiobjective optimization technique.A Non-dominated Sorting Genetic Algorithm Ⅱ(NSGA Ⅱ) is employed to approximate the set of Pareto solution through an evolutionary optimization process.And a multi-attribute decision making approach is 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 motor is conducted to illustrate the analysis process in present study.The ranking of Pareto solution is based on entropy weight and TOPSIS method.
【CateGory Index】: TP18;TM306
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