Semi-automated transmission control for motorcycle gearshift: design, data-driven tuning and experimental validation
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866912145250189312 |
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| author | Catenaro, Edoardo Panzani, Giulio Sette, Davide Savaresi, Sergio M. |
| author_facet | Catenaro, Edoardo Panzani, Giulio Sette, Davide Savaresi, Sergio M. |
| contents | This brief addresses the gearshifting problem for Semi-Automated Manual Transmissions (S-AMT) in powered two-wheelers, a powertrain setup that allows fast and smooth gear shifts with minimal modifications to the traditional manual powertrain layout. We show that with a proper synchronization between the electronic clutch and engine torque, excellent gearshift performance can be obtained, but requires precise parameters calibration. We thus propose the use of a data-driven approach with Constrained Bayesian Optimization to optimize control parameters. The procedure's effectiveness is demonstrated on a real vehicle, assessing performance in terms of optimality, convergence rate, and repeatability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_03989 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Semi-automated transmission control for motorcycle gearshift: design, data-driven tuning and experimental validation Catenaro, Edoardo Panzani, Giulio Sette, Davide Savaresi, Sergio M. Systems and Control This brief addresses the gearshifting problem for Semi-Automated Manual Transmissions (S-AMT) in powered two-wheelers, a powertrain setup that allows fast and smooth gear shifts with minimal modifications to the traditional manual powertrain layout. We show that with a proper synchronization between the electronic clutch and engine torque, excellent gearshift performance can be obtained, but requires precise parameters calibration. We thus propose the use of a data-driven approach with Constrained Bayesian Optimization to optimize control parameters. The procedure's effectiveness is demonstrated on a real vehicle, assessing performance in terms of optimality, convergence rate, and repeatability. |
| title | Semi-automated transmission control for motorcycle gearshift: design, data-driven tuning and experimental validation |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2412.03989 |