基于AI技术的电动汽车速度控制

Mahesh Ramesh Birajdar, Tabasum Bashir Patait, Alisha Rafik Sayyad, Pratik Sudhakar Jangam, Swpnil Sudhakar Bhosle, A. A. Malgave
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引用次数: 0

摘要

本文针对无驾驶员的程序化车辆驾驶框架进行了研究。为提高电动汽车在不同道路基本状态下的舒适性和稳健性,提出了电动汽车的速度控制方法。提出了利用灵敏模糊PI调节器的控制电路。利用模糊模糊控制逐步改变控制PI调节器工作的边界。本文研究了具有四个机电轮架的电动汽车的路径跟踪问题。一种基于模糊原理的调节器向机器人发送速度和指导方针,以保证机器人遵循方向,在该调节器的规划过程中,其作用重点是轻松和熟练。处理时间和反应时间是过程控制的基本组成部分,它决定了模糊调节器各部分的结构和边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrical vehicle speed control by AI technique
This research paper in regards to the programmed vehicle driving framework without driver. This part presents a speed control of electric vehicle (EV) to improve the comportment and solidness under different street essential state . The control circuit utilizing shrewd fuzzy PI regulator is proposed. Boundaries which manage the working of PI regulator are progressively changed with the help of fuzzy canny control. This work manages the issue of way following for an electrical vehicle which has four electromechanical wheels framework. A regulator dependent on fuzzy rationale send the speed and the guiding guidelines to the robot to guarantee that the robot follows the direction , during the plan of this regulator the exertion was focused on the effortlessness and proficiency . The handling and reaction time are fundamental components in the process control, which is the thing that roused the decision of the construction and the boundaries of the various pieces of the fuzzy regulator.
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