Design of MRAC Augmented with PID Controller using Genetic Algorithm

被引：0

作者：

Goel, Aman ^{[1
]}

Kumar, Rahul ^{[1
]}

Narayan, Shiv ^{[1
]}

机构：

[1] PEC Univ Technol, Elect Engn, Chandigarh, India

来源：

PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016) | 2016年

关键词：

MRAC Modified MRAC; MIT Rule; Lyapunov Theory; Genetic Algorithm;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper qualitatively, compares MRAC and Modified MRAC scheme when the adaptation laws are designed using different approaches. The controller parameter adaptation laws are designed based on the MIT rule and Lyapunov theory. The effect of augmenting the system with PID has also been studied. The augmented system provided better responses.

引用

页数：5

共 7 条

[1]

Aly A.A., 2011, INTELLIGENT CONTROL, V2, P69, DOI DOI 10.4236/ICA.2011.22008

[2]

Ioannou P., 1996, ROBUST ADAPTIVE CONT

[3]

Meng Xiangzhong, 2008, P IEEE INT C AUT LOG

[4] Real-coded Genetic Algorithm for system identification and tuning of a modified Model Reference Adaptive Controller for a hybrid tank system [J].