An improved adaptive position tracking strategy for automatic shift actuator with uncertain parameters
Realizing precise and fast position control of the gear is a challenging issue because of its nonlinearity, parameter uncertainty and external disturbance. Therefore, this paper researches the clutch position control considering the influence because of the factor on the system performance. By virtu...
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| Published in | Scientific reports Vol. 14; no. 1; pp. 9454 - 14 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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London
Nature Publishing Group UK
24.04.2024
Nature Publishing Group Nature Portfolio |
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| Abstract | Realizing precise and fast position control of the gear is a challenging issue because of its nonlinearity, parameter uncertainty and external disturbance. Therefore, this paper researches the clutch position control considering the influence because of the factor on the system performance. By virtue of the traditional adaptive control method, an improved strategy based on finite time theory is proposed to further improve the convergence rate as well as the position tracking precision. First, a model of electromechanical clutch actuator system is established by theoretical analysis. Then, an enhanced adaptive controller is designed using finite time idea by introducing power function in the virtual control. And parameter update rate is adopted in the control action. Next, the stability of the control system is proved theoretically. Finally, Matlab simulations and experimental bench test are carried out to exhibit the effectiveness of the presented method. The results show that the satisfactory performance has been achieved with accurate position tracking and fast convergence speed. |
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| AbstractList | Abstract Realizing precise and fast position control of the gear is a challenging issue because of its nonlinearity, parameter uncertainty and external disturbance. Therefore, this paper researches the clutch position control considering the influence because of the factor on the system performance. By virtue of the traditional adaptive control method, an improved strategy based on finite time theory is proposed to further improve the convergence rate as well as the position tracking precision. First, a model of electromechanical clutch actuator system is established by theoretical analysis. Then, an enhanced adaptive controller is designed using finite time idea by introducing power function in the virtual control. And parameter update rate is adopted in the control action. Next, the stability of the control system is proved theoretically. Finally, Matlab simulations and experimental bench test are carried out to exhibit the effectiveness of the presented method. The results show that the satisfactory performance has been achieved with accurate position tracking and fast convergence speed. Realizing precise and fast position control of the gear is a challenging issue because of its nonlinearity, parameter uncertainty and external disturbance. Therefore, this paper researches the clutch position control considering the influence because of the factor on the system performance. By virtue of the traditional adaptive control method, an improved strategy based on finite time theory is proposed to further improve the convergence rate as well as the position tracking precision. First, a model of electromechanical clutch actuator system is established by theoretical analysis. Then, an enhanced adaptive controller is designed using finite time idea by introducing power function in the virtual control. And parameter update rate is adopted in the control action. Next, the stability of the control system is proved theoretically. Finally, Matlab simulations and experimental bench test are carried out to exhibit the effectiveness of the presented method. The results show that the satisfactory performance has been achieved with accurate position tracking and fast convergence speed. Realizing precise and fast position control of the gear is a challenging issue because of its nonlinearity, parameter uncertainty and external disturbance. Therefore, this paper researches the clutch position control considering the influence because of the factor on the system performance. By virtue of the traditional adaptive control method, an improved strategy based on finite time theory is proposed to further improve the convergence rate as well as the position tracking precision. First, a model of electromechanical clutch actuator system is established by theoretical analysis. Then, an enhanced adaptive controller is designed using finite time idea by introducing power function in the virtual control. And parameter update rate is adopted in the control action. Next, the stability of the control system is proved theoretically. Finally, Matlab simulations and experimental bench test are carried out to exhibit the effectiveness of the presented method. The results show that the satisfactory performance has been achieved with accurate position tracking and fast convergence speed.Realizing precise and fast position control of the gear is a challenging issue because of its nonlinearity, parameter uncertainty and external disturbance. Therefore, this paper researches the clutch position control considering the influence because of the factor on the system performance. By virtue of the traditional adaptive control method, an improved strategy based on finite time theory is proposed to further improve the convergence rate as well as the position tracking precision. First, a model of electromechanical clutch actuator system is established by theoretical analysis. Then, an enhanced adaptive controller is designed using finite time idea by introducing power function in the virtual control. And parameter update rate is adopted in the control action. Next, the stability of the control system is proved theoretically. Finally, Matlab simulations and experimental bench test are carried out to exhibit the effectiveness of the presented method. The results show that the satisfactory performance has been achieved with accurate position tracking and fast convergence speed. |
| ArticleNumber | 9454 |
| Author | Gao, Jie Yin, Chengqiang Xu, Guangfei Wu, Jian Wang, Shuai |
| Author_xml | – sequence: 1 givenname: Chengqiang surname: Yin fullname: Yin, Chengqiang organization: School of Machinery and Automation, Weifang University – sequence: 2 givenname: Shuai surname: Wang fullname: Wang, Shuai organization: School of Mechanical and Automobile Engineering, Liaocheng University – sequence: 3 givenname: Jie surname: Gao fullname: Gao, Jie organization: School of Machinery and Automation, Weifang University – sequence: 4 givenname: Guangfei surname: Xu fullname: Xu, Guangfei organization: School of Mechanical and Automobile Engineering, Liaocheng University – sequence: 5 givenname: Jian surname: Wu fullname: Wu, Jian email: wuj12062@163.com organization: School of Mechanical and Automobile Engineering, Liaocheng University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38658676$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1109/TCST.2021.3139765 10.1109/tmech.2018.2793351 10.1016/J.COMPAG.2022.106778 10.4271/2020-01-0960 10.1016/j.ymssp.2019.05.0-43 10.3390/en10101562 10.1109/TIE.2014.2317131 10.3901/JME.2019.04.084 10.1109/tfuzz.2017.2-779102 10.1115/1.4039184 10.1016/j.mech-machtheory.2019.03.003 10.1109/TVT.2015.2433178 10.1016/j.etran.2022.100188 10.19562/j.chinasae.qcgc.2018.0-4.008 10.3390/app10020681 10.1007/s12239-021-0007-5 10.1016/j.conengprac.2021.105040 10.1016/j.neucom.2019.01.057 10.1109/TCYB.2015.245-7894 10.3390/app7121283 10.3390/MATH10091473 10.1016/J.MECHMACHTHEORY.2022.105129 10.1109/tvt.2015.2433178 10.1177/0954407013482676 10.1177/00368504221081966 10.1109/ACCESS.201-9.2926311 10.1109/TTE.2021.3128429 10.1109/TMECH.2009.2036172 10.1016/j.automatica.2018.03.033 10.1007/s10586-017-1562-4 10.1109/TMECH.2016.2517088 10.30939/ijaste-ch.797276 10.1016/j.neucom.2016.05.036 10.1007/s12239-012-0046-z 10.1109/ICOMSSC45026.20-18.8941736 |
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| Keywords | Finite time control Parameter update Adaptive control Position tracking Automatic clutch system |
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| SubjectTerms | 639/166 639/4077 Adaptive control Automatic clutch system Automation Control algorithms Control systems Control theory Controllers Convergence Design Finite time control Friction Humanities and Social Sciences Lagrange multiplier multidisciplinary Nonlinear systems Parameter update Position tracking Robust control Science Science (multidisciplinary) Systems stability Theoretical analysis |
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| Title | An improved adaptive position tracking strategy for automatic shift actuator with uncertain parameters |
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