Enhancement of Automated Guided Vehicle System for Heavy Trucks

A. Hossam-Eldin, H. Ashour, Islam M. Ragab
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Abstract

Current steering automation techniques are well serving most of the commonly used vehicles especially commercial cars, however those vehicles with small steering angle (SSA) such as heavy trucks would be the most difficult to apply these techniques to, as these vehicles have higher tendency to exhibit under-steer on curvature turns of the road. In this paper an automated guided vehicle (AGV) system is suggested to automate specific maneuvers for SSA vehicles, this system is based on conventional kinematics modeling and specially designed maneuvering trajectory for the concerned type of vehicles. Moreover as an application for this methodology, this research presents an automated parking system of SSA vehicle with innovative solution for the stubborn issue of curvy trajectories by converting them mathematically into linear ones. The operation principles of the designed path algorithm are explained with geometric logic interpretation, while output results are depicted using MATLAB simulation to verify the system advantages.
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重型卡车自动导向车辆系统的改进
目前的转向自动化技术很好地服务于大多数常用车辆,特别是商用车,但是那些转向角较小的车辆(SSA),如重型卡车,将是最困难的应用这些技术,因为这些车辆有更高的倾向,表现出转向不足的道路弯曲转弯。本文提出了一种自动导引车(AGV)系统,该系统在常规运动学建模的基础上,针对特定类型的车辆设计机动轨迹,实现自动导引车特定机动的自动化。此外,作为该方法的应用,本研究提出了一种SSA车辆自动停车系统,通过将曲线轨迹数学转换为线性轨迹,创新地解决了曲线轨迹的顽固性问题。用几何逻辑解释了所设计路径算法的工作原理,并用MATLAB仿真描述了输出结果,验证了系统的优点。
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