Design of Intelligent Embedded System for Automotive Mechanical Automation Based on Particle Swarm Optimization

Authors

  • Xiuhua Yu School of Mechanical and Control Engineering, Baicheng Normal University, Baicheng 137000, Jilin, China
  • Yuhao Shan College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, Sichuan, China

Abstract

With the continuous development of China’s economy and society, the automobile has become an indispensable means of transportation in people’s daily lives, and the improvement of industrial automation has also revitalized China’s automobile industry. With the rapid development of automotive technology, embedded technology has also begun to be widely used in the research of vehicle intelligent driving technology. This technology not only significantly reduces the number of driving accidents, but it can also greatly improve the operational efficiency of vehicles. In this work, an intelligent embedded system for the optimization of automotive mechanical automation was designed based on the particle swarm optimization algorithm. This
paper introduces the concept and characteristics of intelligent embedded systems for automotive mechanical automation, and explains the advantages of particle swarm optimization algorithm in optimization problems. Moreover, the optimization problems in the design of intelligent embedded systems for automotive mechanical automation are analyzed This paper provides a detailed introduction to the principle and implementation steps of particle swarm optimization, and explores the selection and adjustment methods of algorithm parameters. The experimental results showed that the lateral control error of the vehicle using the system when traveling in a straight line was less than 0.3m, and the longitudinal control error of the vehicle was less than 0.5m/s, which met the system design requirements. The results indicate that the design of an intelligent embedded system for automotive
mechanical automation based on particle swarm optimization algorithm is relatively successful, and can effectively improve the performance and efficiency of the system.

Keywords: Particle Swarm Algorithm; Machinery Automation Intelligent; Embedded System; System Design

Cite As

X. Yu, Y. Shan, "Design of Intelligent Embedded System for Automotive Mechanical Automation
Based on Particle Swarm Optimization", Engineering Intelligent Systems, vol. 30 no. 4, pp. 329-338, 2024.


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Published

2024-07-01

Issue

Vol. 32 No. 4 (2024): International Journal of Engineering Intelligent Systems

Section

Article

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