基于多目标遗传算法和多属性决策的船舶PID控制器参数整定

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(MOGA)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(TOPSIS)进行多属性决策(MADM)研究,对Pareto最优解给出排序.计算了一个二阶船舶控制的数值算例,结果表明本文提出的联合方法通用性好,设计的PID性能优异,适合工程实际应用.

Multi-objective optimization and multi-attribute decision making for PID controller parameters tuning in ship design

The tuning of PID controller parameters is the most important task in PID design process.A new tuning method is present for PID parameters based on multiobjective optimization technique.A hybrid approaches is proposed.In the first stage,a Multiobjective Optimization Genetic Algorithm II(MOGA)is employed to approximate the set of Pareto solution through an evolutionary optimization process.In the subsequent stage,a multi-attribute decision making(MADM)approach is adopted to rank these solutions from best to ...