Quantized Output Feedback Control of AFS for Electric Vehicles With Transmission Delay and Data Dropouts
This article proposes a robust <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_\infty </tex-math></inline-formula> output feedback control strategy to improve vehicle lateral stability through active front wheel steering with quantization error, transmissio...
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Published in | IEEE transactions on intelligent transportation systems Vol. 23; no. 9; pp. 16026 - 16037 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.09.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
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Abstract | This article proposes a robust <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_\infty </tex-math></inline-formula> output feedback control strategy to improve vehicle lateral stability through active front wheel steering with quantization error, transmission delay and data dropouts. Since vehicle lateral dynamics presents inherently uncertain challenges, the polytopic technique is used and the variation of tire cornering stiffness is compensated via norm-bounded uncertainty. Meanwhile, considering that the measurement outputs are inevitably suffer from network-induced constrains, i.e. the quantization error, transmission delay and data dropouts, which degrade the stability and handling performance of vehicle, a robust gain-scheduling <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_\infty </tex-math></inline-formula> output feedback controller design strategy is proposed and the stability conditions are presented in the form of linear matrix inequalities that are derived from Lyapunov asymptotic stability and quadratic <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_\infty </tex-math></inline-formula> performance. Finally, two simulation cases are carried out with MATLAB/Simulink-Carsim to validate the effectiveness of the proposed method. |
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AbstractList | This article proposes a robust <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_\infty </tex-math></inline-formula> output feedback control strategy to improve vehicle lateral stability through active front wheel steering with quantization error, transmission delay and data dropouts. Since vehicle lateral dynamics presents inherently uncertain challenges, the polytopic technique is used and the variation of tire cornering stiffness is compensated via norm-bounded uncertainty. Meanwhile, considering that the measurement outputs are inevitably suffer from network-induced constrains, i.e. the quantization error, transmission delay and data dropouts, which degrade the stability and handling performance of vehicle, a robust gain-scheduling <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_\infty </tex-math></inline-formula> output feedback controller design strategy is proposed and the stability conditions are presented in the form of linear matrix inequalities that are derived from Lyapunov asymptotic stability and quadratic <inline-formula> <tex-math notation="LaTeX">\mathcal {H}_\infty </tex-math></inline-formula> performance. Finally, two simulation cases are carried out with MATLAB/Simulink-Carsim to validate the effectiveness of the proposed method. This article proposes a robust [Formula Omitted] output feedback control strategy to improve vehicle lateral stability through active front wheel steering with quantization error, transmission delay and data dropouts. Since vehicle lateral dynamics presents inherently uncertain challenges, the polytopic technique is used and the variation of tire cornering stiffness is compensated via norm-bounded uncertainty. Meanwhile, considering that the measurement outputs are inevitably suffer from network-induced constrains, i.e. the quantization error, transmission delay and data dropouts, which degrade the stability and handling performance of vehicle, a robust gain-scheduling [Formula Omitted] output feedback controller design strategy is proposed and the stability conditions are presented in the form of linear matrix inequalities that are derived from Lyapunov asymptotic stability and quadratic [Formula Omitted] performance. Finally, two simulation cases are carried out with MATLAB/Simulink-Carsim to validate the effectiveness of the proposed method. |
Author | Chang, Xiao-Heng Liu, Yi |
Author_xml | – sequence: 1 givenname: Xiao-Heng orcidid: 0000-0002-6197-1623 surname: Chang fullname: Chang, Xiao-Heng email: changxiaoheng@sina.com organization: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China – sequence: 2 givenname: Yi orcidid: 0000-0003-3553-5745 surname: Liu fullname: Liu, Yi email: liuyi1728@sina.cn organization: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China |
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SubjectTerms | active front wheel steering Asymptotic stability Control systems design Cornering data dropouts Delay Delays Dropouts Electric vehicles Feedback control Gain scheduling Lateral stability Linear matrix inequalities Mathematical analysis Measurement Output feedback quantization Quantization (signal) Robust control Robustness Steering Stiffness transmission delay Uncertainty Vehicle dynamics |
Title | Quantized Output Feedback Control of AFS for Electric Vehicles With Transmission Delay and Data Dropouts |
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