Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
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Control of Crane System Using Fuzzy Learning Method

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  • Noh, Sang-Hyun (Dept. of Automotive Engineering, Taegu Technical College) ;
  • Lim, Yoon-Kyu (Dept. of Mechanical Engineering, Yeungnam University)
  • 노상현 (대구공업대학 자동차과) ;
  • 임윤규 (영남대학교 기계공학과 대학원)
  • Received : 1999.01.14
  • Accepted : 1999.03.20
  • Published : 1999.04.30
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Abstract

An active control for the swing of crane systems is very important for increasing the productivity. This article introduces the control for the position and the swing of a crane using the fuzzy learning method. Because the crane is a multi-variable system, learning is done to control both position and swing of the crane. Also the fuzzy control rules are separately acquired with the loading and unloading situation of the crane for more accurate control. And We designed controller by fuzzy learning method, and then compare fuzzy learning method with LQR. The result of simulations shows that the crane is controlled better than LQR for a very large swing angle of 1 radian within nearly one cycle.

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