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An Application of the Genetic Algorithm for the Input Shaper on the High Order System

입력 성형기의 고차 시스템 적용을 위한 GA활용

  • Jeong, Hwang Hun (System Technology Department, Korea Construction Equipment Technology Institute) ;
  • Yun, So Nam (Energy Systems Research Division, Korea Institute of Machinery & Materials) ;
  • Lee, Sang Hun (Industrial Technology Department, Korea Construction Equipment Technology Institute)
  • Received : 2020.03.23
  • Accepted : 2020.04.10
  • Published : 2020.06.01

Abstract

Recently, industrial systems are becoming quicker and lighter to enable the reduction of energy consumption and increase productivity. So the latest systems are more flexible and rapid than the previous systems. But, with this improvement, another problem has emerged, such as the increase in residual vibration when a system is started or stopped. The input shaper is a command generation method that can remove residual vibration. It can provide a solution to the problem of residual vibration in industrial systems. However, it is difficult to generate the input shaper in high order systems, such as a typical industrial system because the input shaper is induced from the system's vibration characteristics. This study focused on the extra insensitivity shaper that can compensate for the system's modeling error such as input dynamics, and the high order's system affection. A genetic algorithm was deployed to adjust a vibration limitation for the extra insensitivity of the input shaper. A plant is a low damping system that includes one zero and a pole. The fitness functions are an error signal of the system's response with normalized frequency variations. Verification of the suggested system is satisfied by comparison between the zero vibration derivative input shaper's response and the suggested one.

Keywords

References

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