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Proceedings of the 3rd International Conference on Mechanics, Electronics Engineering and Automation, ICMEEA 2026, April 24-26, 2026, Singapore, Singapore

Research Article

Intelligent Driving Based on PID Control

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  • @INPROCEEDINGS{10.4108/eai.24-4-2026.2364988,
        author={Wenze  Li},
        title={Intelligent Driving Based on PID Control},
        proceedings={Proceedings of the 3rd International Conference on Mechanics, Electronics Engineering and Automation, ICMEEA 2026, April 24-26, 2026, Singapore, Singapore},
        publisher={EAI},
        proceedings_a={ICMEEA},
        year={2026},
        month={9},
        keywords={PID control Intelligent Driving AGV LQR MPC},
        doi={10.4108/eai.24-4-2026.2364988}
    }
    
  • Wenze Li
    Year: 2026
    Intelligent Driving Based on PID Control
    ICMEEA
    EAI
    DOI: 10.4108/eai.24-4-2026.2364988
Wenze Li1,*
  • 1: School of Chips, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China
*Contact email: zhaojianbailu@outlook.com

Abstract

With the development of artificial intelligence, intelligent driving may become the most common mode of transportation on the road in the future. Among them, the lateral and longitudinal controls are particularly crucial, respectively controlling the steering and speed. PID control can effectively implement control algorithms in both horizontal and vertical directions. This paper studies the algorithm optimization resulting from the combination of different algorithms and the PID algorithm based on PID control, including but not limited to MPC, LQR, neural networks, etc. Some have even developed original algorithms that combine multiple algorithms. Different control systems distinct from PID control were obtained in the results. The advantages and disadvantages of different algorithms were analyzed, and the optimization of the original algorithm in different directions all achieved good results. Based on this research, the understanding of PID control and different algorithms can be deepened.

Keywords
PID control, Intelligent Driving, AGV, LQR, MPC
Published
2026-09-02
Publisher
EAI
http://dx.doi.org/10.4108/eai.24-4-2026.2364988
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