• 제목/요약/키워드: F-P-K(Fokker-Plank-Kolomogorv)

검색결과 2건 처리시간 0.016초

A Study of 'Mode Selecting Stochastic Controller' for a Dynamic System Under Random Vibration

  • Kim Yong-Kwan;Lee Jong-Bok;Heo Hoon
    • Journal of Mechanical Science and Technology
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    • 제19권10호
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    • pp.1846-1855
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    • 2005
  • This paper presents a new stochastic controller applied on the vibration control system under irregular disturbances based on the mode selection scheme. Measured displacement and frequency characteristics are simultaneously used in designing a mode selecting controller. This technique is validated by applying to the suppression problem of a flexible beam with randomly vibrated circumstances. The presented method, called Mode Selecting Stochastic Controller, uses the frequency measurement of the flexible system based on a Fast-Fourier transformation algorithm. This controller is constructed by combining mode selection method with previous known Stochastic Controller in real time: Numerical simulations and several experiments are conducted to validate the proposed method. The performance of the proposed method is compared with a stochastic controller developed recently. This method was improved compared with previous one.

실시간 모드 선택 확률제어기에 관한 연구 (A Study of Real Time Mode Selecting Stochastic Controller)

  • 김용관;이종복;여운주;허훈
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 춘계학술대회논문집
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    • pp.1054-1057
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    • 2003
  • A Real Time Mode Selecting Stochastic Controller (RTMSSC) is developed as a new control strategy for a vibrating system under irregular disturbance. Displacement information and frequency characteristics obtained from me::id analysis of the system are used to design a Mode Selecting Controller. This Paper explains design technique of RTNSSC by applying it to the suppression of a flexible beam experiencing random vibration. The RTMSSC is designed by stochastic control from the modal information. The frequency information of the flexible system is utilized from the Mode Selecting Unit (MSU) based on a Fast-Fourier Transformation algorithm. The performance of the proposed technique, RTMSSC, is compared with that of Real Time Stochastic Controller developed recently, which show quite promising results.

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