Adaptive fuzzy control of a belt-driven precision positioning table

被引:0
作者
El-Sharkawi, MA [1 ]
Guo, YH [1 ]
机构
[1] Univ Washington, Dept Elect Engn, Computat Intelligence Lab, Seattle, WA 98195 USA
来源
IEEE IEMDC'03: IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, VOLS 1-3 | 2003年
关键词
electric drives; precision-positioning-control; belt-drive; fuzzy-logic; fuzzy-control; intelligent control; self-tuning; genetic-algorithm;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Because of their lower cost, higher speed, and longer travel, belt drive positioning systems are quite desirable over screw-driven systems. However, belt drive systems are inherently difficult to control due to belt flexibility, stretch, backlash, and other nonlinearities. In this paper, a composite fuzzy controller, consisting of a feedback fuzzy controller and a feedforward acceleration compensator, is introduced to control a belt drive precision positioning table. Using a linear encoder with a resolution of 0.5mum, zero final positioning error and RMS track following error of around 30mum are obtained. A self-tuning scheme based on Evolutionary Computation (EC), is. then proposed to make this controller adaptive. The Evolutionary Computation optimizes the controller gains by experimentally running the controller on the actual system with a step command. The test results of the actual system have demonstrated the effectiveness and efficiency of the proposed self-tuning technique.
引用
收藏
页码:1504 / 1506
页数:3
相关论文
共 50 条
[41]   Guaranteed- stability adaptive fuzzy control of a hydraulic elevator [J].
Fateh, Mohammad Mehdi ;
Amerian, Mohaddeseh .
INTERNATIONAL JOURNAL OF INTELLIGENT COMPUTING AND CYBERNETICS, 2013, 6 (03) :252-271
[42]   A hybrid approach to adaptive fuzzy control based on genetic algorithms [J].
Cupertino, F ;
Giordano, V ;
Naso, D ;
Turchiano, B .
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, :3607-3612
[43]   Adaptive Fuzzy Control of Constrained Flexible-Link Manipulators [J].
Fan Xiaoping Xu Jianmin Mao Zongyuan Zhou Qijie Department of Automation South China University of Technology Guangzhou PR China Y S Ho T P Leung The Hong Kong Polytechnic University Hung Hom Kowloon HK .
International Journal of Plant Engineering and Management, 1997, (04) :52-62
[44]   Fuzzy Multiple Model Adaptive Control [J].
Burakov, M., V .
2019 WAVE ELECTRONICS AND ITS APPLICATION IN INFORMATION AND TELECOMMUNICATION SYSTEMS (WECONF), 2019,
[45]   Adaptive fuzzy relational predictive control [J].
Wong, CH ;
Shah, SL ;
Bourke, MM ;
Fisher, DG .
FUZZY SETS AND SYSTEMS, 2000, 115 (02) :247-260
[46]   Stable indirect fuzzy adaptive control [J].
Golea, N ;
Golea, A ;
Benmahammed, K .
FUZZY SETS AND SYSTEMS, 2003, 137 (03) :353-366
[47]   Fuzzy model reference adaptive control [J].
Goléa, N ;
Goléa, A ;
Benmahammed, K .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2002, 10 (04) :436-444
[48]   Novel fuzzy adaptive combustion control [J].
Skrjanc, I ;
Kocijan, J ;
Matko, D .
ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 1998, 1999, :185-189
[49]   Robust adaptive fuzzy control algorithm [J].
Zhang Ming-jun ;
Zhang Hua-guang ;
Zhang You .
PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2, 2005, :1091-+
[50]   Fuzzy adaptive internal model control [J].
Xie, WF ;
Rad, AB .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2000, 47 (01) :193-202