The Transactions of the Korean Institute of Electrical Engineers A (대한전기학회논문지:전력기술부문A)

The Korean Institute of Electrical Engineers (대한전기학회)
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Speed Control of Two-Mass System Using Neural Network Estimator

신경망 추정기를 이용한 2관성 공진계의 속도 제어

  • 이교범 (고려대 공대 전기공학과) ;
  • 송중호 (한국과학기술연구원 지능제어연구센터) ;
  • 최익 (한국과학기술연구원 지능제어연구센터) ;
  • 김광배 (한국과학기술연구원 지능제어연구센터) ;
  • 이광원 (아주대 공대 전자공학부)
  • Published : 1999.03.01
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Abstract

A new control scheme using a torsional torque estimator based on a neural network is proposed and investigated for improving control characteristics of the high-performance motion control system. This control method presents better performance in the corresponding speed vibration response, compared with the disturbance observer-based control method. This result comes from the fact that the proposed neural network estimator keeps the self-learning capability, whereas the disturbance observer-based torque estimator with low pass filter should dbjust the time constant of the adopted filter according to the natural resonance frequency detemined by considering the system parameters varied. The simulation results shows the validity of the proposed control scheme.

Keywords

References

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