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TECHNICAL PAPERS

Quick-Return Servomechanism With Adaptive Fuzzy Neural Network Control

[+] Author and Article Information
Rong-Fong Fung

Department of Mechanical and Automation Engineering, National Kaohsiung First University of Science and Technology, University Road, Yuanchau, Kaohsiung, Taiwan 824, ROCe-mail: rffung@ccms.nkfust.edu.tw

Faa-Jeng Lin

Department of Electrical Engineering, Chung Yuan Christian University, Chung Li 320, Taiwan

Rong-Jong Wai

Department of Electrical Engineering Yuan Ze University, Chung Li 320, Taiwan

J. Dyn. Sys., Meas., Control 123(2), 253-264 (Feb 29, 2000) (12 pages) doi:10.1115/1.1368113 History: Received February 29, 2000
Copyright © 2001 by ASME
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References

Figures

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Field-oriented control PM synchronous servo motor-mechanism coupling system: (a) simplified control block diagram of motor drive; (b) motor-gear mechanism
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Quick-return mechanism driven by a PM synchronous servo motor
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Block diagram of quick-return servomechanism using adaptive controller
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Block diagram of quick-return servomechanism using adaptive FNN controller
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Four-layer FNN structure
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Simulated responses of adaptive controller due to periodic step command at Case 1: (a), (b) tracking response and control effort with K=−1; (c), (d) tracking response and control effort with K=−5; (e), (f ) tracking response and control effort with K=−15
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Simulated responses of adaptive controller due to periodic step command with K=−5: (a), (b) tracking response and control effort at Case 2; (c), (d) tracking response and control effort at Case 3
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Simulated responses of adaptive controller due to periodic sinusoidal command with K=−5: (a), (b) tracking response and control effort at Case 1; (c), (d) tracking response and control effort at Case 2; (e), (f ) tracking response and control effort at Case 3
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Simulated responses of adaptive FNN controller due to periodic step command: (a), (b) tracking response and control effort at Case 1; (c), (d) tracking response and control effort at Case 2; (e), (f ) tracking response and control effort at Case 3
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Simulated responses of adaptive FNN controller due to periodic sinusoidal command: (a), (b) tracking response and control effort at Case 1; (c), (d) Tracking response and control effort at Case 2; (e), (f ) tracking response and control effort at Case 3
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Experimental results of adaptive controller: (a), (b) Periodic step command at nominal case; (c), (d) periodic step command at parameter variation case; (e), (f ) periodic sinusoidal command at nominal case; (g), (h) periodic sinusoidal command at parameter variation case
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Experimental results of adaptive FNN controller: (a), (b) periodic step command at nominal case; (c), (d) periodic step command at parameter variation case; (e), (f ) periodic sinusoidal command at nominal case; (g), (h) periodic sinusoidal command at parameter variation case

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