摘要
提出了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。由这些Pareto最优解构成决策矩阵,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进行多属性决策研究,对Pareto最优解给出排序。计算了一个水轮机控制的数值算例,结果表明所设计的PID性能优异,适合工程实际应用。
The tuning of PID controller parameters is the most important task in PID design process. One new tuning method was present for PID parameters based on multiobjective optimization technique. In the first stage, Multiobjective Optimization Genetic Algorithm （MOGA） was employed to approximate the set of Pareto solution through an evolutionary optimization process. In the subsequent stage, 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 hydraulic turbine was conducted to illustrate the analysis process in present study. The ranking of Pareto solution was based on entropy weight and TOPSIS method.
出处
《电力科学与工程》
2009年第2期45-48,共4页
Electric Power Science and Engineering
关键词
水轮机PID调节器
遗传算法
多目标优化
多属性决策
排序法
hydraulic turbine PID controller
genetic algorithm
multiobjective optimization
multi-attribute decision making
TOPSIS
