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首页> 外文期刊>Industrial Electronics, IEEE Transactions on >Control of Interaction Force of Twin Direct-Drive Motor System Using Variable Wire Rope Tension With Multisensor Integration
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Control of Interaction Force of Twin Direct-Drive Motor System Using Variable Wire Rope Tension With Multisensor Integration

机译:可变钢丝绳张力与多传感器集成控制双直接驱动电机系统的相互作用力

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摘要

In this paper, a novel wire-based robot system with consideration of the different levels of wire rope tension is introduced, and its performance while executing a task in an unknown environment is analyzed. An adaptable wire rope tension control, called a twin direct-drive motor system, provides a unique structure for a robot interaction system. Compared with conventional industrial robots, it significantly becomes the preferred approach for improving the level of reliability and providing safe user interaction because the wire rope mechanism is a low friction and lightweight device. In addition, from the identification results, the bandwidth of the robot system can be regulated by changing the wire rope tension. In the controller design, dual disturbance observers with respect to two operation modes, namely, the common mode and the differential mode, are designed and applied for controlling the wire rope tension and interaction force. A variable wire rope tension algorithm is proposed to change the mechanical bandwidth based on the movements of a human. The advantages of a high mechanical bandwidth and low stiffness transmission are combined. With regard to the rejection of the vibration effects and the generation of a smooth interaction force, the variable wire rope tension control is found to give the best results in an experimental setup.
机译:本文介绍了一种新型的基于钢丝绳的机器人系统,该系统考虑了钢丝绳张力的不同水平,并分析了其在未知环境中执行任务时的性能。一种适应性强的钢丝绳张力控制装置,称为双直接驱动电动机系统,为机器人交互系统提供了独特的结构。与传统的工业机器人相比,由于钢丝绳机构是一种低摩擦且轻巧的设备,因此它已成为提高可靠性和提供安全的用户交互作用的首选方法。另外,根据识别结果,可以通过改变钢丝绳张力来调节机器人系统的带宽。在控制器的设计中,针对共模和差模两种工作模式设计了双重干扰观测器,并将其应用于控制钢丝绳的张力和相互作用力。提出了一种可变的钢丝绳张力算法,以根据人的运动来改变机械带宽。结合了高机械带宽和低刚度传输的优点。关于振动效应的抑制和平滑相互作用力的产生,发现可变钢丝绳张力控制在实验装置中能提供最佳结果。

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