Research on Vehicle Longitudinal Control Method Based on Model Predictive Control

Xingbang Gao; Jiaojiao Li; Ruiyuan Liu; Shuai Zhang; Pengcheng Ma

doi:10.54097/fcis.v1i3.2068

Authors

Xingbang Gao
Jiaojiao Li
Ruiyuan Liu
Shuai Zhang
Pengcheng Ma

DOI:

https://doi.org/10.54097/fcis.v1i3.2068

Keywords:

Autonomous vehicle, Longitudinal control, Model predictive control, Occupant comfort, Vehicle longitudinal dynamics model

Abstract

In order to improve the safety of autonomous vehicles during driving and the comfort of drivers and passengers, the longitudinal dynamics model of the vehicle is first established. Secondly, the longitudinal motion control strategy is designed considering the influence of vehicle driving safety and driver comfort. Based on this, a longitudinal motion controller based on model predictive control is established. The upper controller uses the model predictive control algorithm to calculate the expected acceleration, and the lower controller uses the vehicle inverse longitudinal dynamics model to convert the expected acceleration calculated by the upper controller into throttle opening and braking pressure. Finally, the effectiveness of the longitudinal motion controller is verified by MATLAB / Simulink under different working conditions. The simulation results show that the longitudinal motion controller designed in this paper improves the comfort of drivers and passengers under the premise of ensuring the safety of vehicles.

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