基于NSGA-II多目标遗传算法的二自由度PID控制器整定

Electronics, Robotics and Automotive Mechanics Conference (CERMA'06) Pub Date : 2006-09-26 DOI:10.1109/CERMA.2006.94

Rubén Lagunas-Jiménez, Guillermo Fernández-Anaya, J. Carlos Martínez-García

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引用次数: 6

摘要

本文采用多目标遗传算法NSGA-II (MOGA - NSGA-II)对作为多目标优化问题(MOP)提出的两自由度控制器(PID-ISA)进行了调谐。目标函数的部署考虑了设定值响应、负载干扰、测量噪声和对模型不确定性的鲁棒性

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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Tuning of Two-Degrees-of-Freedom PID Controllers via the Multiobjective Genetic Algorithm NSGA-II

In this paper a procedure is used to tuner two degrees of freedom controllers (PID-ISA) raised as a multiobjective optimization problem (MOP), applying the multiobjective genetic algorithm NSGA-II (MOGA NSGA-II). The objective functions are deployed considering, setpoint response, load disturbances, measurement noises and robustness to model uncertainty

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Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)

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