船舶柴油机调速器参数整定的多目标优化和多属性决策研究

综合考虑系统在输入阶跃扰动和负荷扰动两个工况时的超调量、稳定时间和ITAE指标，研究了PID控制器参数寻优的问题。采用多目标遗传算法求出Pareto最优解，使用信息熵法和逼近理想解的排序方法（TOPSIS）对Pareto最优解给出了排序。计算了一艘水面船舶柴油机调速器控制的数值算例，结果表明本文方法有效，所设计的PID性能优异，可以工程实际应用。

Multi-objective Optimization and Multi-attribute Decision Making for Controller Parameters Tuning of Ship's Diesel

A new tuning method is present for PID parameters based on multi-objective optimization technique. The performance both in step response and regulatory response is considered simultaneously. A hybrid approach is proposed. In the first stage, a multi-objective genetic algorithm （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. A PID design example for ship diesel is conducted to illustrate the analysis process in present study. The ranking of Pareto solution is based on entropy weight and TOPSIS method.