Neural Adaptive Controller for Magnetic levitation System

被引：0
|
作者：
Hajimani, Masoud [1 ]
Dashti, Zohreh Alzahra Sanai [1 ]
Gholami, Milad [2 ]
Jafari, Mohammad [1 ]
Shoorehdeli, M. Aliyari [3 ]
机构：
[1] Islamic Azad Univ, Dept Elect Engn, Qazvin Branch, Qazvin, Iran
[2] ABA Inst Higher Educ, Aybek, Qazvin, Iran
[3] KN Toosi Univ, Fac Elect Engn, Mechatron Dept, Tehran, Iran
来源：
2014 IRANIAN CONFERENCE ON INTELLIGENT SYSTEMS (ICIS) | 2014年
关键词：
Magnetic levitation system; Neural Network; Intelligent Control; RBF;
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 study a Neural Adaptive method is used for position control and identification of a Magnetic levitation system. This controller consists of three parts: PID controller, radial basis function (RBF) network controller and radial basis function (RBF) network identifier. The combination of controllers produces a stable system which adapts to optimize performance. It is shown that this technique can be successfully used to stabilize any chosen operating point of the system. All derived results are validated by computer simulation of a nonlinear mathematical model of the system.
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页数：6
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