基于遗传算法的多目标模糊PI控制器

2003 IEEE International Symposium on Industrial Electronics ( Cat. No.03TH8692) Pub Date : 2003-06-09 DOI:10.1109/ISIE.2003.1267900

G. Serra

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引用次数: 5

摘要

本文提出一种模糊比例积分(PI)控制器，它是传统PI控制器的离散时间版本。采用遗传算法对数据库和恒定PI控制增益进行了优化，设计要求如下:最小化超调量、稳定时间和平滑输出曲线。因此，该优化问题近似于多目标优化问题，得到最优模糊PI控制器。仿真结果表明，该方法比传统方法有了改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A multiobjective fuzzy PI controller based on genetic algorithm

This paper presents a fuzzy proportional-integral (PI) controller, which is a discrete-time version of a conventional PI controller. The data base as well as the constant PI control gains are optimized by using a genetic algorithm according to the following design specifications: minimizing the overshoot, the settling time and smoothing of the output curve. Thus, the optimization problem close to a multiobjective optimization one, resulting in an optimal fuzzy PI controller. Simulation results are shown to demonstrate the improvement over a conventional one.

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2003 IEEE International Symposium on Industrial Electronics ( Cat. No.03TH8692)

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