Model predictive control application for simplified adaptive cruise control

Ali Caglar Sonmez; Jifu Guan; Zheng Zhang; Yan Xiong

doi:10.1117/12.3014805

4 March 2024 Model predictive control application for simplified adaptive cruise control

Ali Caglar Sonmez, Jifu Guan, Zheng Zhang, Yan Xiong

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129816O (2024) https://doi.org/10.1117/12.3014805
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

One of the Advanced Driver Assistance Systems (ADAS), Adaptive Cruise Control (ACC), takes over longitudinal control of the car when activated. This article analyses a simplified Adaptive Cruise Control (ACC) function using Model Predictive Control (MPC). The aim is to ensure the desired distance between a preceding target vehicle moving with constant velocity and the following host vehicle. Inputs and state variables are constrained for drivability and safety concerns. The simulations performed using MATLAB under various initial conditions validated the MPC design. The optimal selection of the prediction horizon and the effectiveness of introducing constraints are also discussed in this paper.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ali Caglar Sonmez, Jifu Guan, Zheng Zhang, and Yan Xiong "Model predictive control application for simplified adaptive cruise control", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129816O (4 March 2024); https://doi.org/10.1117/12.3014805

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