Demonstration of Autonomous Driving Control for a Retrofitted Wheel Loader

Tomohito Kawabe, Masahiro Inagawa, Toshinobu Takei, Hiroto Murayama, Keiichi Yoshizawa, Munehiro Ishibashi, Keji Nagatani
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Abstract

Most research on automating gravel pile transport using wheel loaders has been performed primarily through simulations. Thus, studies should evaluate the usefulness of automatic gravel pile transportation by demonstrating it with an actual wheel loader. This study demonstrates automatic driving control using a retrofitted 3-ton wheel loader for gravel pile transportation. The driving model of a retrofitted wheel loader, in which multiple control systems are interlocked, is considered a simple control model with one input and one output for the pedal and vehicle velocity as well as for the steering wheel and steering angular velocity. In this study, we propose a simple and practical method for constructing a driving model via simple response analysis using an actual machine by constructing a feedforward control model based on control input/output using step responses. In this study, feedforward control was applied to the translation of the vehicle, which has a large dead time. By generating the path following the target point from the vehicle predicted position after the dead time from the driving model, the appropriate control input value calculation considering the dead time was performed. By applying the proposed method to a retrofitted wheel loader in a real environment and evaluating the control performance through control experiments, the effectiveness of the proposed method in practice was demonstrated.
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改装轮式装载机的自主驾驶控制演示
有关使用轮式装载机自动运输碎石桩的大部分研究主要是通过模拟进行的。因此,研究应通过使用实际的轮式装载机进行演示来评估砾石桩自动运输的实用性。本研究使用改装的 3 吨级轮式装载机演示了砾石桩运输的自动驾驶控制。改装后的轮式装载机的驾驶模型由多个控制系统互锁,被认为是一个简单的控制模型,踏板和车辆速度以及方向盘和转向角速度均为一个输入和一个输出。在本研究中,我们提出了一种简单实用的方法,即通过使用实际机器的简单响应分析来构建驾驶模型,根据使用阶跃响应的控制输入/输出构建前馈控制模型。在这项研究中,前馈控制被应用于具有较大死区时间的车辆平移。通过从驾驶模型得出死区时间后的车辆预测位置,生成跟随目标点的路径,并考虑死区时间计算适当的控制输入值。通过将所提方法应用于真实环境中的改装轮式装载机,并通过控制实验评估控制性能,证明了所提方法在实践中的有效性。
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Congratulations! Journal of Robotics and Mechatronics Best Paper Award 2023 Development and Application of Robotics for Decommissioning of Fukushima Daiichi NPS by IRID Experimental Evaluation of Manipulator Teleoperation System Based on Trajectory Planning for Obstacle Removal Task in Nuclear Plant Decommissioning Demonstration of Autonomous Driving Control for a Retrofitted Wheel Loader Development of Remote Construction System of Modularized Rail Structure for Inexperienced Operators
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