Modeling of a magneto-rheological (MR) damper using genetic programming
This paper is based on the experimental study for design and control of vibrations in automotive vehicles. The objective of this paper is to develop a model for the highly nonlinear Magneto-Rheological (MR) damper to maximize passenger comfort in an automotive vehicle. The behavior of the MR damper...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2019
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| Online Access: | https://hdl.handle.net/10356/106971 http://hdl.handle.net/10220/49006 |
| _version_ | 1811692388772478976 |
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| author | Tai, Kang Raj, Varun Singru, Pravin Raizada, Ayush Krishnakumar, Vishnuvardhan Garg, Akhil |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Tai, Kang Raj, Varun Singru, Pravin Raizada, Ayush Krishnakumar, Vishnuvardhan Garg, Akhil |
| author_sort | Tai, Kang |
| collection | NTU |
| description | This paper is based on the experimental study for design and control of vibrations in automotive vehicles. The objective of this paper is to develop a model for the highly nonlinear Magneto-Rheological (MR) damper to maximize passenger comfort in an automotive vehicle. The behavior of the MR damper is studied under different loading conditions and current values in the system. The input and output parameters of the system are used as a training data to develop a suitable model using Genetic Algorithm. To generate the training data, a test rig similar to a quarter car model was fabricated to load the MR damper with a mechanical shaker to excite it externally. With the help of the test rig the input and output parameter data points are acquired by measuring the acceleration and force of the system at different points with the help of an impedance head and accelerometers. The model is validated by measuring the error for the testing and validation data points. The output of the model is the optimum current that is supplied to the MR Damper, using a controller, to increase the passenger comfort by minimizing the amplitude of vibrations transmitted to the passenger. Besides using this model for cars, bikes and other automotive vehicles it can also be modified by re-training the algorithm and used for civil structures to make them earthquake resistant. |
| first_indexed | 2024-10-01T06:35:00Z |
| format | Journal Article |
| id | ntu-10356/106971 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:35:00Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/1069712023-03-04T17:17:58Z Modeling of a magneto-rheological (MR) damper using genetic programming Tai, Kang Raj, Varun Singru, Pravin Raizada, Ayush Krishnakumar, Vishnuvardhan Garg, Akhil School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering MR Damper Genetic Programming This paper is based on the experimental study for design and control of vibrations in automotive vehicles. The objective of this paper is to develop a model for the highly nonlinear Magneto-Rheological (MR) damper to maximize passenger comfort in an automotive vehicle. The behavior of the MR damper is studied under different loading conditions and current values in the system. The input and output parameters of the system are used as a training data to develop a suitable model using Genetic Algorithm. To generate the training data, a test rig similar to a quarter car model was fabricated to load the MR damper with a mechanical shaker to excite it externally. With the help of the test rig the input and output parameter data points are acquired by measuring the acceleration and force of the system at different points with the help of an impedance head and accelerometers. The model is validated by measuring the error for the testing and validation data points. The output of the model is the optimum current that is supplied to the MR Damper, using a controller, to increase the passenger comfort by minimizing the amplitude of vibrations transmitted to the passenger. Besides using this model for cars, bikes and other automotive vehicles it can also be modified by re-training the algorithm and used for civil structures to make them earthquake resistant. Published version 2019-06-28T03:47:28Z 2019-12-06T22:22:07Z 2019-06-28T03:47:28Z 2019-12-06T22:22:07Z 2017 Journal Article Singru, P., Raizada, A., Krishnakumar, V., Garg, A., Tai, K., & Raj, V. (2017). Modeling of a magneto-rheological (MR) damper using genetic programming. Journal of Vibroengineering, 19(5), 3169-3177. doi:10.21595/jve.2017.17828 1392-8716 https://hdl.handle.net/10356/106971 http://hdl.handle.net/10220/49006 10.21595/jve.2017.17828 en Journal of Vibroengineering © 2017 JVE International Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 9 p. application/pdf |
| spellingShingle | Engineering::Mechanical engineering MR Damper Genetic Programming Tai, Kang Raj, Varun Singru, Pravin Raizada, Ayush Krishnakumar, Vishnuvardhan Garg, Akhil Modeling of a magneto-rheological (MR) damper using genetic programming |
| title | Modeling of a magneto-rheological (MR) damper using genetic programming |
| title_full | Modeling of a magneto-rheological (MR) damper using genetic programming |
| title_fullStr | Modeling of a magneto-rheological (MR) damper using genetic programming |
| title_full_unstemmed | Modeling of a magneto-rheological (MR) damper using genetic programming |
| title_short | Modeling of a magneto-rheological (MR) damper using genetic programming |
| title_sort | modeling of a magneto rheological mr damper using genetic programming |
| topic | Engineering::Mechanical engineering MR Damper Genetic Programming |
| url | https://hdl.handle.net/10356/106971 http://hdl.handle.net/10220/49006 |
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