Flow disturbance suppression for pneumatic anti-vibration apparatus by central pattern generator using reciprocal inhibition oscillator model
Pneumatic anti-vibration apparatus (AVA) has been used in order to suppress vibration from a floor. In this paper, central pattern generator (CPG) composed of reciprocal inhibition oscillator (RIO) model is applied for suppression of flow disturbance caused by pressure fluctuation of compressed air...
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Format: | Article |
Language: | English |
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The Japan Society of Mechanical Engineers
2019-09-01
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Series: | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/jamdsm/13/3/13_2019jamdsm0065/_pdf/-char/en |
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author | Sho KASHIWAZAKI Shinji WAKUI |
author_facet | Sho KASHIWAZAKI Shinji WAKUI |
author_sort | Sho KASHIWAZAKI |
collection | DOAJ |
description | Pneumatic anti-vibration apparatus (AVA) has been used in order to suppress vibration from a floor. In this paper, central pattern generator (CPG) composed of reciprocal inhibition oscillator (RIO) model is applied for suppression of flow disturbance caused by pressure fluctuation of compressed air supplied to the pneumatic AVA. Concretely, the disturbance suppression is confirmed by implementing it to the control system of the AVA. In addition, this paper shows that the control system using internal information in CPG can realize the stable levitation and the disturbance suppression simultaneously. In the industry situation, the flow disturbance is not periodic because the consumption flow rate of the compressed air changes. Therefore, the band-pass filter in CPG using RIO model is redesigned to be broadband, and the disturbance can be suppressed without declining performance even when the disturbance period changes. Moreover, this paper illustrates the roles of the sigmoid function and the connection between two neurons in CPG using RIO model. When the sigmoid function is replaced with the proportion function and the saturation function, the influence is verified by experiments. |
first_indexed | 2024-04-12T08:55:33Z |
format | Article |
id | doaj.art-e5ce3dc59bdd4858ac9c3cd62835f470 |
institution | Directory Open Access Journal |
issn | 1881-3054 |
language | English |
last_indexed | 2024-04-12T08:55:33Z |
publishDate | 2019-09-01 |
publisher | The Japan Society of Mechanical Engineers |
record_format | Article |
series | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
spelling | doaj.art-e5ce3dc59bdd4858ac9c3cd62835f4702022-12-22T03:39:24ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542019-09-01133JAMDSM0065JAMDSM006510.1299/jamdsm.2019jamdsm0065jamdsmFlow disturbance suppression for pneumatic anti-vibration apparatus by central pattern generator using reciprocal inhibition oscillator modelSho KASHIWAZAKI0Shinji WAKUI1Tokyo University of Agriculture and TechnologyTokyo University of Agriculture and TechnologyPneumatic anti-vibration apparatus (AVA) has been used in order to suppress vibration from a floor. In this paper, central pattern generator (CPG) composed of reciprocal inhibition oscillator (RIO) model is applied for suppression of flow disturbance caused by pressure fluctuation of compressed air supplied to the pneumatic AVA. Concretely, the disturbance suppression is confirmed by implementing it to the control system of the AVA. In addition, this paper shows that the control system using internal information in CPG can realize the stable levitation and the disturbance suppression simultaneously. In the industry situation, the flow disturbance is not periodic because the consumption flow rate of the compressed air changes. Therefore, the band-pass filter in CPG using RIO model is redesigned to be broadband, and the disturbance can be suppressed without declining performance even when the disturbance period changes. Moreover, this paper illustrates the roles of the sigmoid function and the connection between two neurons in CPG using RIO model. When the sigmoid function is replaced with the proportion function and the saturation function, the influence is verified by experiments.https://www.jstage.jst.go.jp/article/jamdsm/13/3/13_2019jamdsm0065/_pdf/-char/enpneumatic equipmentvibration controlflow disturbanceneural networkcentral pattern generatorreciprocal inhibition oscillator |
spellingShingle | Sho KASHIWAZAKI Shinji WAKUI Flow disturbance suppression for pneumatic anti-vibration apparatus by central pattern generator using reciprocal inhibition oscillator model Journal of Advanced Mechanical Design, Systems, and Manufacturing pneumatic equipment vibration control flow disturbance neural network central pattern generator reciprocal inhibition oscillator |
title | Flow disturbance suppression for pneumatic anti-vibration apparatus by central pattern generator using reciprocal inhibition oscillator model |
title_full | Flow disturbance suppression for pneumatic anti-vibration apparatus by central pattern generator using reciprocal inhibition oscillator model |
title_fullStr | Flow disturbance suppression for pneumatic anti-vibration apparatus by central pattern generator using reciprocal inhibition oscillator model |
title_full_unstemmed | Flow disturbance suppression for pneumatic anti-vibration apparatus by central pattern generator using reciprocal inhibition oscillator model |
title_short | Flow disturbance suppression for pneumatic anti-vibration apparatus by central pattern generator using reciprocal inhibition oscillator model |
title_sort | flow disturbance suppression for pneumatic anti vibration apparatus by central pattern generator using reciprocal inhibition oscillator model |
topic | pneumatic equipment vibration control flow disturbance neural network central pattern generator reciprocal inhibition oscillator |
url | https://www.jstage.jst.go.jp/article/jamdsm/13/3/13_2019jamdsm0065/_pdf/-char/en |
work_keys_str_mv | AT shokashiwazaki flowdisturbancesuppressionforpneumaticantivibrationapparatusbycentralpatterngeneratorusingreciprocalinhibitionoscillatormodel AT shinjiwakui flowdisturbancesuppressionforpneumaticantivibrationapparatusbycentralpatterngeneratorusingreciprocalinhibitionoscillatormodel |