Fuzzy-based Gain Scheduling of Exact FeedForward Linearization Control and Sliding Mode Control for Magnetic Ball Levitation System: A Comparative Study

被引：0
|
作者：
Lashin, Manar [1 ]
Elgammal, Abdullah T. [1 ]
Ramadan, Ahmed [2 ]
Abouelsoud, A. A. [3 ]
Assal, Samy F. M. [4 ]
Abo-Ismail, A. [1 ]
机构：
[1] Egypt Japan Univ Sci & Technol, E JUST, Mech & Robot Eng Dept, Alexandria, Egypt
[2] Tanta Univ, Fac Eng, Comp & Automat Control Dept, Tanta, Egypt
[3] Cairo Univ, Fac Eng, Elect & Commun Eng Dept, Cairo, Egypt
[4] Tanta Univ, Fac Eng, Prod Eng & Mech Design Dep, Tanta, Egypt
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS | 2014年
关键词：
Exact FeedForward Linearization Control; Magnetic ball levitation; Gain scheduling; Luenberger observer; Sliding Mode Controller; Mismatched Condition; DESIGN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a comparative study between two control approaches; an Exact FeedForward Linearization controller developed by fuzzy-gain scheduling and sliding mode controller based on Ackermann and Utkin method. For the later one the sliding surface dynamics are determined explicitly without transforming to the sliding mode canonical form. The benefits of this study are demonstrated practically on a well known benchmark control problem, Magnetic ball levitation system (Maglev), and the performances of both controllers are compared. Important control issues such as tracking ability, control effort, steady state error and noise rejection are experimentally investigated.
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页数：6
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