| 引用本文: | 武星,楼佩煌,唐敦兵.基于精英进化导向的多目标PID参数优化[J].控制理论与应用,2010,27(9):1235~1239.[点击复制] |
| WU Xing,LOU Pei-huang,TANG Dun-bing.Multi-objective optimization for PID parameter based on elitist-evolution guidance[J].Control Theory and Technology,2010,27(9):1235~1239.[点击复制] |
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| 基于精英进化导向的多目标PID参数优化 |
| Multi-objective optimization for PID parameter based on elitist-evolution guidance |
| 摘要点击 2173 全文点击 1425 投稿时间：2009-05-19 修订日期：2009-12-29 |
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| DOI编号 10.7641/j.issn.1000-8152.2010.9.CCTA090636 |
| 2010,27(9):1235-1239 |
| 中文关键词 PID参数整定 多目标优化 遗传算法 精英导向 Pareto最优解 |
| 英文关键词 PID parameter tuning multi-objective optimization genetic algorithm elitist-guidance Pareto optimal solutions |
| 基金项目 南京航空航天大学基本科研业务费专项科研基金资助项目(NJ2010025); 南京航空航天大学引进人才科研启动基金资助项目(S1026-053); 霍英东教育基金资助项目(111056). |
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| 中文摘要 |
| 在多目标优化问题中, 决策者必须对Pareto前沿的众多非劣解做出选择. 本文将决策偏好融入Pareto优化过程, 提出一种基于精英导向机制的多目标遗传算法, 根据决策偏好选择Pareto最优解为精英, 利用无损有限精度法和归一增量距离保持种群多样性, 通过多种群进化机制将决策偏好的影响传播到整个种群. 该方法成功应用于自动导引车(AGV)伺服系统的PID参数优化, 可根据决策偏好快速有效地定向搜索Pareto最优解, 保证伺服控制达到路
径跟踪要求的速度响应性能. |
| 英文摘要 |
| For multi-objective optimization problems, a decision-maker must choose one solution from many nondominated ones in Pareto front. Decision preferences are introduced into Pareto optimization in this paper, and a multiobjective genetic algorithm based on elitist-guidance mechanism is presented. Elitists are selected from Pareto optimal solutions according to decision-making preferences. The lossless-finite-precision method and the normalized incrementdistance are proposed to keep the population diversity. The effect of decision-making preferences is spread among the entire population by using the multi-population evolution mechanism. This approach is applied successfully to PID parameter optimization of automated-guided-vehicle(AGV) servo system, which can make a fast, effective and directional search for Pareto optimal solutions according to decision-making preferences, and ensures the servo control for achieving the velocity-response performance required by path tracking. |