Observer-based gain scheduling path following control for autonomous electric vehicles subject to time delay

This paper presents a novel observer-based gain-scheduling path following control algorithm for autonomous electric vehicles subject to time delay. Firstly, the lateral dynamic model of the autonomous electric vehicle is constructed by a polytope with four vertices, in which the issues of the time-v...

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Published inVehicle system dynamics Vol. 60; no. 5; pp. 1602 - 1626
Main Authors Chu, Shaoqiang, Xie, Zhengchao, Wong, Pak Kin, Li, Panshuo, Li, Wenfeng, Zhao, Jing
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 04.05.2022
Taylor & Francis Ltd
Subjects
Algorithms
Apexes
Autonomous electric vehicle
Control algorithms
Control systems design
Control theory
Controllers
Dynamic models
Electric vehicles
Gain scheduling
Linear matrix inequalities
Mathematical analysis
Nonlinear dynamics
observer
path following
Signal processing
Signal transmission
time delay
Time lag
Trajectory planning
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Abstract This paper presents a novel observer-based gain-scheduling path following control algorithm for autonomous electric vehicles subject to time delay. Firstly, the lateral dynamic model of the autonomous electric vehicle is constructed by a polytope with four vertices, in which the issues of the time-varying longitudinal velocity and nonlinear tyre dynamics are accurately described. Secondly, taking the time delay encountered in the process of signal transmission into consideration, the observer-based path following controller is proposed by using easily measured vehicle states. In the algorithm, the observer and controller gains are gain scheduled according to the actual longitudinal velocity. Thirdly, based on Lyapunov stability theory, an appropriate Lyapunov-Krasovskii functional is constructed to derive sufficient conditions of the controller, which is effective to ensure the asymptotical stability of the closed-loop path following error system with a guaranteed performance. Specially, for ease of computation, the sufficient conditions of controller design are developed in terms of a set of linear matrix inequalities. Finally, numerical simulations are implemented to illustrate the efficiency and superiority of the proposed method in comparison with the existing method.
AbstractList This paper presents a novel observer-based gain-scheduling path following control algorithm for autonomous electric vehicles subject to time delay. Firstly, the lateral dynamic model of the autonomous electric vehicle is constructed by a polytope with four vertices, in which the issues of the time-varying longitudinal velocity and nonlinear tyre dynamics are accurately described. Secondly, taking the time delay encountered in the process of signal transmission into consideration, the observer-based path following controller is proposed by using easily measured vehicle states. In the algorithm, the observer and controller gains are gain scheduled according to the actual longitudinal velocity. Thirdly, based on Lyapunov stability theory, an appropriate Lyapunov–Krasovskii functional is constructed to derive sufficient conditions of the controller, which is effective to ensure the asymptotical stability of the closed-loop path following error system with a guaranteed performance. Specially, for ease of computation, the sufficient conditions of controller design are developed in terms of a set of linear matrix inequalities. Finally, numerical simulations are implemented to illustrate the efficiency and superiority of the proposed method in comparison with the existing method.
This paper presents a novel observer-based gain-scheduling path following control algorithm for autonomous electric vehicles subject to time delay. Firstly, the lateral dynamic model of the autonomous electric vehicle is constructed by a polytope with four vertices, in which the issues of the time-varying longitudinal velocity and nonlinear tyre dynamics are accurately described. Secondly, taking the time delay encountered in the process of signal transmission into consideration, the observer-based path following controller is proposed by using easily measured vehicle states. In the algorithm, the observer and controller gains are gain scheduled according to the actual longitudinal velocity. Thirdly, based on Lyapunov stability theory, an appropriate Lyapunov-Krasovskii functional is constructed to derive sufficient conditions of the controller, which is effective to ensure the asymptotical stability of the closed-loop path following error system with a guaranteed performance. Specially, for ease of computation, the sufficient conditions of controller design are developed in terms of a set of linear matrix inequalities. Finally, numerical simulations are implemented to illustrate the efficiency and superiority of the proposed method in comparison with the existing method.
Author Xie, Zhengchao
Wong, Pak Kin
Li, Panshuo
Chu, Shaoqiang
Li, Wenfeng
Zhao, Jing
Author_xml – sequence: 1
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  fullname: Xie, Zhengchao
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  email: jzhao@um.edu.mo
  organization: University of Macau
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Snippet This paper presents a novel observer-based gain-scheduling path following control algorithm for autonomous electric vehicles subject to time delay. Firstly,...
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SubjectTerms Algorithms
Apexes
Autonomous electric vehicle
Control algorithms
Control systems design
Control theory
Controllers
Dynamic models
Electric vehicles
Gain scheduling
Linear matrix inequalities
Mathematical analysis
Nonlinear dynamics
observer
path following
Signal processing
Signal transmission
time delay
Time lag
Trajectory planning
Title Observer-based gain scheduling path following control for autonomous electric vehicles subject to time delay
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