摘要
本文给出了一种基于多目标遗传算法的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(NSGAⅡ)求出Pareto最优解。使用信息熵法对最优解的属性进行权值计算,根据逼近理想解的排序方法对Pareto最优解给出排序。计算了一个电机控制的数值算例,结果表明本文方法所设计的PID控制器性能优异,适合工程实际应用。
The tuning of PID controller parameters is the most important task in PID design process. 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 solutlon 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.
出处
《船电技术》
2009年第3期6-9,共4页
Marine Electric & Electronic Engineering
关键词
电机PID调节器
遗传算法
多目标优化
多属性决策
TOPSIS
motor PID controller
Genetic Algorithm
Multiobjective optimization
multi-attribute decision making
TOPSIS
