Mobility Improvement on the Two-Wheeled Dynamically Balanced Robot – $\mathrm{J}4.\beta$

Yu-Cheng Hsu, Ming C. Lin, C. G. Li
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Abstract

Dynamically self-balancing wheeled robots possess the characteristics of having a small footprint, low base-to-height ratios, high accelerations and speeds, and low costs. They are suitable for working in human-centric environments. As part of our ongoing effort in creating self-balancing wheeled robots, in this article, we reported the development of our latest model – $\mathrm{J}4.\beta$. In contrast to the previous model – $\mathrm{J}4.\alpha$, the new model has a greater dynamic mass-to-total ratio; thus, the acceleration and the ultimate speed are both increased. Here, the maximum speed of 4.4 m/s of the motion platform is achievable by $\mathrm{J}4.\beta$. We analyzed the system dynamics and had confirmations from measurements; a speed servo system was developed based on PID control. To simplify the dynamics of the mobile robot, a stepper motor instead of a DC motor was adopted for the actuation of the dynamic mass; the overall controlled plant could be approximated as a second-order system. To acquire the PID coefficients, a series of road tests were performed in a common office building. A set of suitable PID coefficients was obtained and verified by three speeds: 0.5 m/s, 1 m/s, and 2 m/s. The speed curves exhibited fast ramp-up, low overshoot, setpoint matching, and low oscillation. For regulation testing, a zero speed was set and external disturbance was applied. The robot was witnessed to slow down rapidly and remain stationary without intensive oscillation. While constructing the autonomous navigation and remote control systems for the mobile robot, the sampling rate of the control system was largely upgraded to 4k Hz to achieve a better tracking and regulation ability.
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两轮动平衡机器人的移动性能改进[J] . [β]
动态自平衡轮式机器人具有占地面积小、底高比低、加速度和速度高、成本低等特点。它们适合在以人为中心的环境中工作。作为我们不断努力创造自平衡轮式机器人的一部分,在这篇文章中,我们报告了我们最新模型的发展- $\mathrm{J}4.\beta$。与之前的模型- $\mathrm{J}4.\alpha$相比,新模型具有更大的动态质量与总比;因此,加速度和最终速度都增加了。在这里,运动平台的最大速度为4.4米/秒,可通过$\mathrm{J}4.\beta$实现。我们分析了系统动力学,并从测量中得到了证实;设计了一种基于PID控制的速度伺服系统。为了简化移动机器人的动力学,采用步进电机代替直流电动机来驱动动态质量;整个被控对象可以近似为一个二阶系统。为了获得PID系数,在某普通办公楼进行了一系列道路试验。通过0.5 m/s、1 m/s和2 m/s三种速度,得到了一组合适的PID系数。速度曲线表现出快速上升、低超调、设定值匹配和低振荡。在调节试验中,设置零转速并施加外部干扰。机器人可以快速减速并保持静止,没有剧烈的振荡。在构建移动机器人自主导航和远程控制系统时,控制系统的采样率大幅提升至4k Hz,以获得更好的跟踪和调节能力。
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