Robust I-Fuzzy Controller for Magnetic Ball Levitation

被引:0
作者
Suman, Dhanraj [1 ]
Bhatt, Rajesh [1 ]
机构
[1] Rajasthan Tech Univ, Dept Elect Engn, Kota, India
来源
2017 INTERNATIONAL CONFERENCE OF ELECTRONICS, COMMUNICATION AND AEROSPACE TECHNOLOGY (ICECA), VOL 1 | 2017年
关键词
Fuzzy Control; Magnetic Levitation Ball; Mamdani;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper deals with the control aspects of magnetic levitation system using fuzzy logic controller (FLC). The magnetic levitation system is a mechatronic system is acknowledged and accepted by the field experts. For such a system it is desired to proposed a suitable controller for positioning a metal sphere in air space by the help of an electromagnetic force. In the ideal situation, the magnetic force produced by current from an electromagnet counteracts the weight of the metal sphere. Nevertheless, the electromagnetic force is very sensitive, and there is noise that creates acceleration forces on the metal sphere, causing the sphere to move into the unbalanced region. FLC proposed in this paper is to control the nonlinear magnetic ball suspension system using Mamdani implication method. Samples of simulation results with different initial conditions concerning the ball's position and speed are provided included to validate the theory. This paper, advocates a novel approach to implement the fuzzy logic controller for magnetic ball levitation system.
引用
收藏
页码:618 / 621
页数:4
相关论文
共 10 条
[1]   Linear and nonlinear state-space controllers for magnetic levitation [J].
Barie, W ;
Chiasson, J .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1996, 27 (11) :1153-1163
[2]   NONLINEAR CONTROL OF A SWINGING PENDULUM [J].
CHUNG, CC ;
HAUSER, J .
AUTOMATICA, 1995, 31 (06) :851-862
[3]  
Googol Technology, 2002, GT 400 SV MAGN LEV U
[4]   A comparative design and tuning for conventional fuzzy control [J].
Li, HX .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1997, 27 (05) :884-889
[5]  
Ogata K., 2001, MODERN CONTROL ENG, Vfourth
[6]  
Passino K. M., 1998, Fuzzy Control, V1st
[7]  
Pradeepyadav, 2014, INT J SCI R IN PRESS
[8]  
Ross T.J., 1995, Fuzzy Logic with Engineering Applications
[9]  
suman Dhanraj, 2016, INT J RECENT TECHNOL, V5, P40
[10]   FUZZY SETS [J].
ZADEH, LA .
INFORMATION AND CONTROL, 1965, 8 (03) :338-&