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Integration of motion planning and model-predictive-control-based control system for autonomous electric vehicles

    Guodong Yin Affiliation
    ; Jianghu Li Affiliation
    ; Xianjian Jin Affiliation
    ; Chentong Bian Affiliation
    ; Nan Chen Affiliation

Abstract

This paper introduces the development of an autonomous driving system in autonomous electric vehicles, which consists of a simplified motion-planning program and a Model-Predictive-Control-Based (MPC-based) control system. The motion-planning system is based on polynomial parameterization, which computes a path toward the expected longitudinal and lateral positions within required time interval in real scenarios. Then the MPC-based control system cooperates the front steering and individual wheel torques to track the planned trajectories, while fulfilling the physical constraints of actuators. The proposed system is evaluated through simulation, using a seven-degrees-offreedom vehicle model with a ‘magic formula’ tire model. The simulations and validation through CarSim show that the proposed planner algorithm and controller are feasible and can achieve requirements of autonomous driving in normal scenarios.

Keyword : autonomous electric vehicles, motion planning, model predictive control

How to Cite
Yin, G., Li, J., Jin, X., Bian, C., & Chen, N. (2015). Integration of motion planning and model-predictive-control-based control system for autonomous electric vehicles. Transport, 30(3), 353–360. https://doi.org/10.3846/16484142.2015.1089322
Published in Issue
Oct 2, 2015
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This work is licensed under a Creative Commons Attribution 4.0 International License.