Presentation 2001/6/22
Load swing suppression of job crane system by neuro controller utilizing GA
Masahiro KATAGIRI, Kunihiko NAKAZONO, Eiho UEZATO, Tetsuhiko YAMAMOTO,
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Abstract(in English) We propose the neuro controller for the load swing suppression of jib crane system on an unstable body like a ship. In order to evolve the neuro controller utilizing genetic algorithm (GA), the GA is designed based on three evaluations. Simulations show that the neuro controller has higher performances than the linear quadratic regulator (LQR) in view points of settling time and robustness. The neuro controller can suppress the load swing under the environments out of initial design conditions.
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Keyword(in English) jib crane system / neural network / genetic algorithm / load swing suppression
Paper # NC2001-32
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Committee NC
Conference Date 2001/6/22(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Load swing suppression of job crane system by neuro controller utilizing GA
Sub Title (in English)
Keyword(1) jib crane system
Keyword(2) neural network
Keyword(3) genetic algorithm
Keyword(4) load swing suppression
1st Author's Name Masahiro KATAGIRI
1st Author's Affiliation Mechanical Systems Engineering Cource, Graduate School of Engineering and Science, University of the Ryukyus()
2nd Author's Name Kunihiko NAKAZONO
2nd Author's Affiliation Department of Mechanical Systems Engineering, Faculty of Engineering, University of the Ryukyus
3rd Author's Name Eiho UEZATO
3rd Author's Affiliation Department of Mechanical Systems Engineering, Faculty of Engineering, University of the Ryukyus
4th Author's Name Tetsuhiko YAMAMOTO
4th Author's Affiliation Department of Mechanical Systems Engineering, Faculty of Engineering, University of the Ryukyus
Date 2001/6/22
Paper # NC2001-32
Volume (vol) vol.101
Number (no) 154
Page pp.pp.-
#Pages 6
Date of Issue