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      Research on trajectory tracking and body attitude control of autonomous ground vehicle based on differential steering

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      PLOS ONE
      Public Library of Science

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          Abstract

          The differential steering can be used not only as the backup system of steer-by-wire, but also as the only steering system. Because the differential steering is realized through the differential moment between the coaxial left and right driving wheels, the sharp reduction of the load on the inner driving wheel will directly lead to the failure of the differential steering when the four-wheel independent drive electric vehicle approaches the rollover. Therefore, this paper not only realizes the trajectory tracking of autonomous ground vehicle through the differential steering, but also puts forward the body attitude control to improve the handling stability. Firstly, the dynamic and kinematic models of differential steering autonomous ground vehicle (DSAGV) and its roll model are established, and the linear three-degree of freedom vehicle model is selected as the reference model to generate the ideal body roll angle. Secondly, a model predictive controller (MPC) is designed to control the DSAGV to track the given reference trajectory, and obtain the required differential moment and the resulting front-wheel steering angle. Then, a sliding mode controller (SMC) is adopted to control the DSAGV to track the ideal body roll angle, and obtain the required roll moment. The simulation results show that the proposed MPC and SMC can not only make the DSAGV realize the trajectory tracking, but also achieve the body attitude control.

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          Review on the Battery Model and SOC Estimation Method

          The accuracy of the power battery model and SOC estimation directly affects the vehicle energy management control strategy and the performance of the electric vehicle, which is of great significance to the efficient management of the battery and the improvement of the reliability of the vehicle. Based on the research of domestic and foreign battery models and the previous results of SOC estimation, this paper classifies power battery models into electrochemical mechanism models, equivalent circuit models and data-driven models. This paper analyzes the advantages and disadvantages of various battery models and current research progress. According to the choice of battery model, the previous research results of the power battery SOC estimation method are divided into three categories: the direct measurement method not based on battery model, the estimation method using black box battery model, and the battery model SOC estimation method based on state space. This paper will summarize and analyze the principles, applicable scenarios and research progress of the three categories of estimation algorithms aiming to provide references for future in-depth research. Finally, in view of the shortcomings of the battery model and estimation algorithm of the existing method, the future improvement direction is proposed.
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            Differential Steering Based Yaw Stabilization Using ISMC for Independently Actuated Electric Vehicles

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              Differential Steering Control of Four-Wheel Independent-Drive Electric Vehicles

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – original draft
                Role: Data curationRole: Formal analysisRole: SoftwareRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                8 February 2023
                2023
                : 18
                : 2
                : e0273255
                Affiliations
                [001] College of Automobile and Traffic Engineering, Nanjing Forestry University, Jiangsu, Nanjing, China
                Beijing Institute of Technology, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-8374-216X
                Article
                PONE-D-22-10912
                10.1371/journal.pone.0273255
                9907824
                36753523
                fe78af3e-f5fc-4878-943a-d43c99c9e4a8
                © 2023 Tian, Yang

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 April 2022
                : 3 August 2022
                Page count
                Figures: 6, Tables: 0, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 51975299
                Award Recipient :
                Yes. 1.This study was supported by the National Natural Science Foundation of China in the form of a grant awarded to JT (51975299) and the High Level Talent Fund of Nanjing Forestry University in the form of a grant awarded to JT (GXL2018004). 2.The funders had roles in study design, and preparation of the manuscript.
                Categories
                Research Article
                Engineering and Technology
                Navigation
                Steering
                Engineering and Technology
                Mechanical Engineering
                Wheels
                Physical Sciences
                Physics
                Classical Mechanics
                Motion
                Torque
                Engineering and Technology
                Signal Processing
                Peak Values
                Physical Sciences
                Physics
                Classical Mechanics
                Acceleration
                Physical Sciences
                Physics
                Gravitation
                Physical Sciences
                Materials Science
                Material Properties
                Mechanical Properties
                Stiffness
                Physical Sciences
                Physics
                Classical Mechanics
                Motion
                Velocity
                Custom metadata
                All relevant data are within the paper.

                Uncategorized
                Uncategorized

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