Fibers and Polymers

  • 제7권1호
  • /
  • Pages.62-65
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  • 2006
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  • 1229-9197(pISSN)
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  • 1875-0052(eISSN)
한국섬유공학회 (The Korean Fiber Society)
권호 표지

Real-time Identification of the Draft System Using Neural Network

  • Chun Soon-Yong (School of IT Electronic Engineering, Dongyang University) ;
  • Bae Han-Jo (School of Textiles, Yeungnam University) ;
  • Kim Seon-Mi (School of Textiles, Yeungnam University) ;
  • Suh Moon-W. (College of Textiles, North Carolina State University) ;
  • Grady P. (College of Textiles, North Carolina State University) ;
  • Lyoo Won-Seok (School of Textiles, Yeungnam University) ;
  • Yoon Won-Sik (School of Textiles, Yeungnam University) ;
  • Han Sung-Soo (School of Textiles, Yeungnam University)
  • 발행 : 2006.03.01
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초록

Making a good model is one of the most important aspects in the field of a control system. If one makes a good model, one is now ready to make a good controller for the system. The focus of this thesis lies on system modeling, the draft system in specific. In modeling for a draft system, one of the most common methods is the 'least-square method'; however, this method can only be applied to linear systems. For this reason, the draft system, which is non-linear and a time-varying system, needs a new method. This thesis proposes a new method (the MLS method) and demonstrates a possible way of modeling even though a system has input noise and system noise. This thesis proved the adaptability and convergence of the MLS method.

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참고문헌

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