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Model-Predictive Undercarriage Control for a Pseudo-Omnidirectional, Wheeled Mobile Robot

机译:用于伪全方位,轮式移动机器人的模型预测底盘控制

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A high degree of mobility and flexibility will be a prerequisite for the successful deployment of future service robots. Currently, pseudo-omnidirectional, wheeled mobile robots with independently steered and driven wheels seem to provide a solid compromise between complexity, flexibility and robustness. Yet, such undercarriages are imposed to the risk of actuator fighting and suffer from singular regions within their configuration space. Within this work a model predictive control (MPC) approach is proposed that addresses both, actuator coordination and singularity avoidance. The control problem is treated within the spherical coordinate representation of the system's velocity space. The MPC approach is simulative and experimentally evaluated w.r.t. the undercarriage of the Care-O-bot~? 3 mobile robot (Figure 1) and is compared to an earlier developed potential field (PF) based approach.
机译:高度的移动性和灵活性将是成功部署未来服务机器人的先决条件。目前,具有独立转向和驱动的车轮的伪全方位,轮式移动机器人似乎在复杂性,灵活性和鲁棒性之间提供了实力折衷。然而,这种底盘造成了执行器战斗的风险,并遭受其配置空间内的奇异区域。在此工作中,提出了一种模型预测控制(MPC)方法,解决了致动器协调和奇点避免。控制问题在系统速度空间的球面坐标表示内处理。 MPC方法是模拟和实验评估的w.r.t. Care-O-Bot的底盘〜? 3移动机器人(图1)并与早期开发的潜在场(PF)的方法进行比较。

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