Fixed-Time Sliding Mode Control for Vehicle Platoon With Input Dead-Zone and Prescribed Performance
This article studies the fixed-time sliding mode control (FTSMC) issue for vehicle platoon with prescribed performance, input dead-zone (IDZ), unknown nonlinearities, and external disturbances. Unlike the traditional funnel-shaped prescribed performance function, a new tunnel fixed-time prescribed p...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10855903/ |
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| author | Yongqiang Jiang Yiguang Wang Xiaojie Li Xiaoyan Zhan Xubing Tang |
| author_facet | Yongqiang Jiang Yiguang Wang Xiaojie Li Xiaoyan Zhan Xubing Tang |
| author_sort | Yongqiang Jiang |
| collection | DOAJ |
| description | This article studies the fixed-time sliding mode control (FTSMC) issue for vehicle platoon with prescribed performance, input dead-zone (IDZ), unknown nonlinearities, and external disturbances. Unlike the traditional funnel-shaped prescribed performance function, a new tunnel fixed-time prescribed performance function (TFTPPF) is proposed, which defines more compact tunnel-shaped performance boundaries that can accelerate convergence speed and reduce overshoot of tracking error. The convergence time of TFTPPF is predefined and is independent of control parameters, which enhances the design flexibility of performance function. Furthermore, Chebyshev neural network (CNN) is adopted to approximate unknown nonlinearities, and new adaptive mechanisms are designed to estimate IDZ slope and external disturbances. Utilizing the proposed TFTPPF, CNN, and adaptive mechanisms, a novel FTSMC strategy for vehicle platoon is proposed to ensure string stability and achieve predefined tracking performance within a fixed time. Finally, comparative numerical examples are employed to validate the validity and advantages of the proposed strategy. |
| format | Article |
| id | doaj-art-248e8984fa1048509a03a5f098da1e32 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-248e8984fa1048509a03a5f098da1e322025-02-05T00:00:53ZengIEEEIEEE Access2169-35362025-01-0113210852109510.1109/ACCESS.2025.353582710855903Fixed-Time Sliding Mode Control for Vehicle Platoon With Input Dead-Zone and Prescribed PerformanceYongqiang Jiang0https://orcid.org/0009-0004-5032-0886Yiguang Wang1https://orcid.org/0000-0002-2556-924XXiaojie Li2https://orcid.org/0000-0002-8220-3893Xiaoyan Zhan3https://orcid.org/0009-0008-6754-9934Xubing Tang4https://orcid.org/0009-0001-1402-2580Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Guilin, ChinaKey Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Guilin, ChinaKey Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Guilin, ChinaKey Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Guilin, ChinaKey Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Guilin, ChinaThis article studies the fixed-time sliding mode control (FTSMC) issue for vehicle platoon with prescribed performance, input dead-zone (IDZ), unknown nonlinearities, and external disturbances. Unlike the traditional funnel-shaped prescribed performance function, a new tunnel fixed-time prescribed performance function (TFTPPF) is proposed, which defines more compact tunnel-shaped performance boundaries that can accelerate convergence speed and reduce overshoot of tracking error. The convergence time of TFTPPF is predefined and is independent of control parameters, which enhances the design flexibility of performance function. Furthermore, Chebyshev neural network (CNN) is adopted to approximate unknown nonlinearities, and new adaptive mechanisms are designed to estimate IDZ slope and external disturbances. Utilizing the proposed TFTPPF, CNN, and adaptive mechanisms, a novel FTSMC strategy for vehicle platoon is proposed to ensure string stability and achieve predefined tracking performance within a fixed time. Finally, comparative numerical examples are employed to validate the validity and advantages of the proposed strategy.https://ieeexplore.ieee.org/document/10855903/Vehicle platoon controlinput dead-zonefixed-time sliding modeunknown nonlinearitiesprescribed performance control |
| spellingShingle | Yongqiang Jiang Yiguang Wang Xiaojie Li Xiaoyan Zhan Xubing Tang Fixed-Time Sliding Mode Control for Vehicle Platoon With Input Dead-Zone and Prescribed Performance IEEE Access Vehicle platoon control input dead-zone fixed-time sliding mode unknown nonlinearities prescribed performance control |
| title | Fixed-Time Sliding Mode Control for Vehicle Platoon With Input Dead-Zone and Prescribed Performance |
| title_full | Fixed-Time Sliding Mode Control for Vehicle Platoon With Input Dead-Zone and Prescribed Performance |
| title_fullStr | Fixed-Time Sliding Mode Control for Vehicle Platoon With Input Dead-Zone and Prescribed Performance |
| title_full_unstemmed | Fixed-Time Sliding Mode Control for Vehicle Platoon With Input Dead-Zone and Prescribed Performance |
| title_short | Fixed-Time Sliding Mode Control for Vehicle Platoon With Input Dead-Zone and Prescribed Performance |
| title_sort | fixed time sliding mode control for vehicle platoon with input dead zone and prescribed performance |
| topic | Vehicle platoon control input dead-zone fixed-time sliding mode unknown nonlinearities prescribed performance control |
| url | https://ieeexplore.ieee.org/document/10855903/ |
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