Data-driven command shaping for improved torque control accuracy of torsional dampers
Automotive torsional dampers are designed to absorb torque fluctuations generated by the engine and deliver a smoother torque to the components located toward the rear. During the torsion evaluation test of these dampers, torsional torque is repeatedly applied while the damper rotates. Given that to...
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| Format: | Article |
| Language: | Japanese |
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The Japan Society of Mechanical Engineers
2025-05-01
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| Series: | Nihon Kikai Gakkai ronbunshu |
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| Online Access: | https://www.jstage.jst.go.jp/article/transjsme/91/946/91_24-00273/_pdf/-char/en |
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| _version_ | 1850157233694834688 |
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| author | Yong LIU Yuki MINAMI |
| author_facet | Yong LIU Yuki MINAMI |
| author_sort | Yong LIU |
| collection | DOAJ |
| description | Automotive torsional dampers are designed to absorb torque fluctuations generated by the engine and deliver a smoother torque to the components located toward the rear. During the torsion evaluation test of these dampers, torsional torque is repeatedly applied while the damper rotates. Given that torsional dampers consist of dead zone elements and multi-stage spring elements, achieving effective torque control can be challenging during these evaluations. In this study, we proposed a method to enhance the performance of the torque control system used in traditional torsional evaluation test machines. Our approach involves modifying the target torsional torque reference by adding a one-pulse signal. Then, the shape of this one-pulse signal is determined through Bayesian optimization. We validated the effectiveness of this proposed method through both simulations and an experiment conducted on actual equipment. |
| format | Article |
| id | doaj-art-20c638b087444542bb5dc549a319fbbf |
| institution | OA Journals |
| issn | 2187-9761 |
| language | Japanese |
| publishDate | 2025-05-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Nihon Kikai Gakkai ronbunshu |
| spelling | doaj-art-20c638b087444542bb5dc549a319fbbf2025-08-20T02:24:14ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612025-05-019194624-0027324-0027310.1299/transjsme.24-00273transjsmeData-driven command shaping for improved torque control accuracy of torsional dampersYong LIU0Yuki MINAMI1Graduate School of Engineering, The University of OsakaGraduate School of Engineering, University of HyogoAutomotive torsional dampers are designed to absorb torque fluctuations generated by the engine and deliver a smoother torque to the components located toward the rear. During the torsion evaluation test of these dampers, torsional torque is repeatedly applied while the damper rotates. Given that torsional dampers consist of dead zone elements and multi-stage spring elements, achieving effective torque control can be challenging during these evaluations. In this study, we proposed a method to enhance the performance of the torque control system used in traditional torsional evaluation test machines. Our approach involves modifying the target torsional torque reference by adding a one-pulse signal. Then, the shape of this one-pulse signal is determined through Bayesian optimization. We validated the effectiveness of this proposed method through both simulations and an experiment conducted on actual equipment.https://www.jstage.jst.go.jp/article/transjsme/91/946/91_24-00273/_pdf/-char/entorsional dampertorque controlcommand shapingbayesian optimizationdata-driven design |
| spellingShingle | Yong LIU Yuki MINAMI Data-driven command shaping for improved torque control accuracy of torsional dampers Nihon Kikai Gakkai ronbunshu torsional damper torque control command shaping bayesian optimization data-driven design |
| title | Data-driven command shaping for improved torque control accuracy of torsional dampers |
| title_full | Data-driven command shaping for improved torque control accuracy of torsional dampers |
| title_fullStr | Data-driven command shaping for improved torque control accuracy of torsional dampers |
| title_full_unstemmed | Data-driven command shaping for improved torque control accuracy of torsional dampers |
| title_short | Data-driven command shaping for improved torque control accuracy of torsional dampers |
| title_sort | data driven command shaping for improved torque control accuracy of torsional dampers |
| topic | torsional damper torque control command shaping bayesian optimization data-driven design |
| url | https://www.jstage.jst.go.jp/article/transjsme/91/946/91_24-00273/_pdf/-char/en |
| work_keys_str_mv | AT yongliu datadrivencommandshapingforimprovedtorquecontrolaccuracyoftorsionaldampers AT yukiminami datadrivencommandshapingforimprovedtorquecontrolaccuracyoftorsionaldampers |