The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on Comparison of Input-Shaping Filter for Optimum Design between Artificial Immune Algorithm and Genetic Algorithm

입력성형필터 최적 설계를 위한 인공 명역망과 유전 알고리즘 비교에 관한 연구

  • Received : 2009.11.23
  • Accepted : 2010.06.22
  • Published : 2010.08.01
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Abstract

Recently to increase the productivity and improve the quality in the industrial process, suppressing the residual vibration in motion control systems becomes the essential problem to solve. One of the methods to suppress the residual vibration is the input shaping technique. It is based on parameters of the system model; however, the parameters are usually difficult to obtain. This paper shows the effects of the residual vibration caused by the variation of the general velocity profile for the system with two vibration modes, and also shows the effects of the input shaping filter based on the parameters of system model. Finally, the simulation results show that the proposed input shaping filter using an artificial immune algorithm is more effective for suppressing residual vibrations than genetic algorithm.

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References

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