Analysis of fuzzy direction control in intelligent vehicle system

• Main Authors: Huang Junjia, Yu Zhixian, Chen Rui, Tang Xiaoyu
• Format: Article
• Language: zho
• Published: National Computer System Engineering Research Institute of China 2018-09-01
• Series: Dianzi Jishu Yingyong
• Subjects: intelligent vehicle system; direction control strategy; mechanical characteristics; robustness
• Online Access: http://www.chinaaet.com/article/3000089751

Under the background of 5G technology, this paper studies the direction control field of intelligent vehicle automatic driving. Most of the existing intelligent vehicle recognition algorithms rely on the error of center line to control the intelligent vehicle, and it is difficult to deal with the track elements′ center line which is not available. In view of this situation, this paper analyzes the robustness of the intelligent vehicle servo system, and explains the influence of the intelligent vehicle algorithm and mechanical characteristics on the robustness of the servo system. On this basis, a specific fuzzy direction control strategy is proposed, and the superiority of the strategy is verified by experiments. The analysis, solution strategy and experiment of intelligent vehicle system are beneficial to improve the intelligent vehicle system.