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Path Tracking Control Strategy of Intelligent Commercial Vehicles Based on Variable Weight Coefficient Multipoint Preview
ID：46 View Protection：ATTENDEE Updated Time：2021-12-03 10:12:45 Hits：309 Poster Presentation

Start Time：2021-12-17 08:11（Asia/Shanghai）

Duration：1min

Session：P1 Poster2020 » P1T1Track 1 Advanced Transportation Information and Control Engineering

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Abstract
To improve the path tracking accuracy of the intelligent commercial vehicle, an optimal preview control strategy with variable weight coefficient multipoint preview is proposed based on the lateral driver model of optimal preview theory. The control strategy improves the path tracking effect by introducing the heading angle deviation feedback control and selecting the optimal preview distance according to vehicle speed. The control strategy is proved to be more accurate by comparing it with single point preview control strategy and fixed weight coefficient multipoint preview control strategy. Finally, the double lane change path simulation experiment is carried out on variable weight coefficient multipoint preview control strategy. The results show that the control strategy has good adaptability to vehicle speed, vehicle load and road adhesion coefficient under normal driving cycle.
Keywords
CICTP
Speaker
Yang Liu
School of Automobile, Chang’an University

Submission Author
Yang Liu School of Automobile, Chang’an University
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Important Date

  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Chang'an University
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