Model-free adaptive sliding mode control for intelligent vehicle longitudinal dynamics
Vehicle longitudinal dynamics system has the characteristics of being strongly non-linear, time-varying, and multiple-perturbed, so, it is difficult to build the mathematical model accurately. The control algorithms, based on accurate mathematical model, can hardly achieve the ideal effect, but cont...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2022-07-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132221110131 |
| _version_ | 1811323096706056192 |
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| author | Feng Zhang-qi Jiang Hao-bin Wei Qi-zhi Hong Yang-ke Ojo Abiodun Oluwaleke |
| author_facet | Feng Zhang-qi Jiang Hao-bin Wei Qi-zhi Hong Yang-ke Ojo Abiodun Oluwaleke |
| author_sort | Feng Zhang-qi |
| collection | DOAJ |
| description | Vehicle longitudinal dynamics system has the characteristics of being strongly non-linear, time-varying, and multiple-perturbed, so, it is difficult to build the mathematical model accurately. The control algorithms, based on accurate mathematical model, can hardly achieve the ideal effect, but control methods, which merely adopt input/output data (I/O) of a system, provides a solution. In this paper, by means of combing model-free adaptive control (MFAC) and sliding-mode control (SMC), the model-free adaptive sliding mode control (MFASMC) method is proposed. By comparison with feedback-feedforward control method, the MFASMC method can better improve the control effect and anti-disturbance performance. Meanwhile, the stability of MFASMC method was proven mathematically. Besides, the parameters of MFASMC method were optimized using genetic algorithm. Results of simulation and HiL test shows that the MFASMC method has fast response, strong robustness and smooth output. It would be better to apply it to the longitudinal dynamics control of intelligent vehicles. |
| first_indexed | 2024-04-13T13:47:54Z |
| format | Article |
| id | doaj.art-85420e2956004fbebbd337afe0466c93 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-04-13T13:47:54Z |
| publishDate | 2022-07-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-85420e2956004fbebbd337afe0466c932022-12-22T02:44:25ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402022-07-011410.1177/16878132221110131Model-free adaptive sliding mode control for intelligent vehicle longitudinal dynamicsFeng Zhang-qi0Jiang Hao-bin1Wei Qi-zhi2Hong Yang-ke3Ojo Abiodun Oluwaleke4School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu, ChinaSchool of Energy and Power Engineering, Jiangsu University, Zhenjiang, Jiangsu, ChinaVehicle longitudinal dynamics system has the characteristics of being strongly non-linear, time-varying, and multiple-perturbed, so, it is difficult to build the mathematical model accurately. The control algorithms, based on accurate mathematical model, can hardly achieve the ideal effect, but control methods, which merely adopt input/output data (I/O) of a system, provides a solution. In this paper, by means of combing model-free adaptive control (MFAC) and sliding-mode control (SMC), the model-free adaptive sliding mode control (MFASMC) method is proposed. By comparison with feedback-feedforward control method, the MFASMC method can better improve the control effect and anti-disturbance performance. Meanwhile, the stability of MFASMC method was proven mathematically. Besides, the parameters of MFASMC method were optimized using genetic algorithm. Results of simulation and HiL test shows that the MFASMC method has fast response, strong robustness and smooth output. It would be better to apply it to the longitudinal dynamics control of intelligent vehicles.https://doi.org/10.1177/16878132221110131 |
| spellingShingle | Feng Zhang-qi Jiang Hao-bin Wei Qi-zhi Hong Yang-ke Ojo Abiodun Oluwaleke Model-free adaptive sliding mode control for intelligent vehicle longitudinal dynamics Advances in Mechanical Engineering |
| title | Model-free adaptive sliding mode control for intelligent vehicle longitudinal dynamics |
| title_full | Model-free adaptive sliding mode control for intelligent vehicle longitudinal dynamics |
| title_fullStr | Model-free adaptive sliding mode control for intelligent vehicle longitudinal dynamics |
| title_full_unstemmed | Model-free adaptive sliding mode control for intelligent vehicle longitudinal dynamics |
| title_short | Model-free adaptive sliding mode control for intelligent vehicle longitudinal dynamics |
| title_sort | model free adaptive sliding mode control for intelligent vehicle longitudinal dynamics |
| url | https://doi.org/10.1177/16878132221110131 |
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