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
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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.
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页码：145 / 150
页数：6
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