Tuning of two-degrees-of-freedom PID controllers via the multiobjective genetic algorithm NSGA-II

被引：0

作者：

Lagunas-Jimenez, Ruben

Fernandez-Anaya, Guillermo

Martinez-Garcia, J. Carlos

机构：

来源：

CERMA2006: ELECTRONICS, ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE VOL 2, PROCEEDINGS | 2006年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：145 / 150

页数：6

共 10 条

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