Research on Intelligent Vehicle Control based on PID Algorithm

With the development of autonomous driving technology, the design and optimization of intelligent vehicle control systems have become a hot topic of research. This paper mainly studies an intelligent vehicle control system based on the improved PID algorithm, especially the application of fuzzy PID control strategy. In view of the limitations of traditional PID control in dealing with actual road conditions, this paper proposes a new type of fuzzy PID control strategy. By using fuzzy logic to optimize the PID parameters in real time, the performance and robustness of the intelligent vehicle control system are improved. The research work includes theoretical analysis, simulation experiments, and result analysis, which verify the obvious advantages of fuzzy PID control in response speed, control accuracy, and robustness compared with traditional PID control. In addition, this paper also provides a system performance evaluation framework, laying a foundation for further research and practical application of intelligent vehicle control systems. Despite certain research results, there are still some limitations, such as the difference between simulation experiments and actual road tests, and the empirical issues of parameter tuning. Future work will focus on optimizing parameters based on data-driven methods, as well as testing and verification on real vehicles.