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CONTROL OF A PASSIVE MOBILITY ASSISTIVE ROBOT

机译:被动移动辅助机器人的控制

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In this paper, a control methodology for a mobility ass is five robot is presented. There are various types of robots that can help the disabled. Among these, mobile robots can help to guide a subject from one place to the other. Broadly, the mobile guidance robots can be classified into active and passive type. From a user's safety point of view, passive mobility assistive robots are more desirable than the active robots. In this paper, a two-wheeled differentially driven mobile robot with a castor wheel is considered as the assistive robot. The robot is made to have passive mobility characteristics by a specific choice of control law which creates damper-like resistive forces on the wheels.The paper describes the dynamic model, the suggested control laws to achieve a passive behavior, and experiments on a mobile robot facility at the University of Delaware. From a starting position, the assistive device guides the user to the goal in two phases. In the first phase, the user is guided to reach a goal position while pushing the robot through a handle attached to it. At the end of this first phase, the robot may not have the desired orientation. In the second phase, it is assumed that the user does not apply any further pushing force while the robot corrects the heading angle. A control algorithm is suggested for each phase. In the second phase, the desired heading angle is achieved at the cost of deviation from the final position. This excursion from the goal position is minimized by the controller. This control scheme is first verified in computer simulation. Then, it is implemented on a laboratory system and the experimental results arepresented.
机译:在本文中,提出了一种针对移动性为五个机器人的控制方法。有各种类型的机器人可以帮助残疾人。其中,移动机器人可以帮助将一个对象从一个地方引导到另一个地方。广义上讲,移动制导机器人可以分为主动型和被动型。从用户安全的角度来看,被动主动辅助机器人比主动机器人更为可取。在本文中,带有脚轮的两轮差动驱动移动机器人被视为辅助机器人。通过选择特定的控制定律使机器人具有被动的运动特性,该定律会在车轮上产生类似阻尼器的阻力。本文描述了动力学模型,为实现被动行为而建议的控制定律,并在移动机器人上进行了实验在特拉华大学的设施。从起始位置开始,辅助设备分两个阶段将用户引导至目标。在第一阶段,引导用户通过安装在其上的手柄推动机器人的同时到达目标位置。在此第一阶段结束时,机器人可能没有所需的方向。在第二阶段中,假设在机器人校正航向角时用户没有施加任何进一步的推力。建议为每个阶段使用一种控制算法。在第二阶段,以偏离最终位置为代价来获得所需的航向角。控制器将目标位置的偏离最小化。该控制方案首先在计算机仿真中得到验证。然后,在实验室系统上进行了实现,并给出了实验结果。

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