Earticle

초록

영어

In the process of metallurgy steel mechanical lifting, lifting path is not planned in advance. Under the different path of lifting, lifting machinery and it's easy to have a collision. The use of traditional algorithm for metallurgical molten steel mechanical lifting, it is necessary to preset a complete mechanical lifting path to achieve mechanical lifting process of collision, without fully considering the randomness of lifting path random effects. In order to avoid the disadvantages of the traditional algorithm, this paper puts forward a kind of coordination control algorithm of the collision in the process of metallurgy steel mechanical lifting system. Rough set neural network model is established and the metallurgical molten steel mechanical lifting collision to deal with the noise signal, thereby to metallurgy steel mechanical collision operation to provide accurate basis. Use of coordinated control algorithm, can realize metallurgy steel mechanical lifting collision. The experimental results show that the algorithm presented in this paper for metallurgical molten steel mechanical lifting process of collision can reduce the collision rate of mechanical lifting, thus ensuring the safe operation of the machinery.

목차

Abstract
 1. Introduction
 2. Planning Method of Traditional Mechanical Lifting Path
 3. Anti-collision Method for Mechanical Lifting Process of Liquid Steel Metallurgy
  3.1 De-noising of Metallurgical Molten Steel Machine Collision Signals
  3.2 Achieving Anti-collision for Mechanical Lifting Process of Liquid Steel Metallurgy
 4. Experimental Results and Analysis
 5. Conclusion
 ACKNOWLEDGEMENTS
 References

키워드

저자

• Tiejun Wu [ Department of Mechanical and Electronics Engineering, Dongguan Polytechnic, Dongguan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605