2017
DOI: 10.1299/mel.17-00346
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A trial of flow disturbance suppression for pneumatic anti-vibration apparatus using internal information in central pattern generator

Abstract: Pneumatic anti-vibration apparatus (AVA) has been used for suppression of vibration from floor in the field like semiconductor manufacturing. The compressed air supplied to the pneumatic AVA is generated by the air compressor. During the compression process of the air, the pressure of the compressed air varies. Consequently, the pressure variation changes the flow rate of the air supplied to the pneumatic AVA, which is called flow disturbance. Based on the internal model principle, the suppression of vibration… Show more

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Cited by 7 publications
(2 citation statements)
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“…used to detect the pressure fluctuation. The flow disturbance attenuation with a central pattern generator was reported in Kashiwazaki and Wakui (2017). The drawback of this approach is that parameters of the central pattern generator have to be precisely tuned so as to reduce the effects of the pressure fluctuation.…”
Section: Introductionmentioning
confidence: 99%
“…used to detect the pressure fluctuation. The flow disturbance attenuation with a central pattern generator was reported in Kashiwazaki and Wakui (2017). The drawback of this approach is that parameters of the central pattern generator have to be precisely tuned so as to reduce the effects of the pressure fluctuation.…”
Section: Introductionmentioning
confidence: 99%
“…The CPG implemented in the closed loop suppressed the vibration of the isolated table due to the flow disturbance (Kashiwazaki and Wakui, 2017a). In addition, internal information in CPG was introduced as outputs corresponding to differential and integral signals (Kashiwazaki and Wakui, 2017b). By using internal information, the stable levitation of the isolated table and the suppression of the disturbance were simultaneously realized without PI compensator which has the role of the stable levitation (Kashiwazaki and Wakui, 2019).…”
Section: Introductionmentioning
confidence: 99%