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Bio-inspired backlash reduction of a low-cost robotic joint using closed-loop-commutated stepper motors

机译:使用闭环换向步进电机以低成本实现低成本机器人关节的反冲

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摘要

The majority of current robotic joints are primarily actuated by rotational mechanisms. These electrical drives have substantially different features than the features found in human muscular systems. This paper presents a cost-effective solution to the backlash of a phenomenon known to cause positioning errors and other undesirable dynamic effects in drives. These errors are particularly pronounced when relatively major changes appear in the pre-load conditions of the motor such as in the case of a robotic leg or arm with a high degree of freedom. Current solutions require an accurate time-varying model of drives that is not available in the majority of practical cases. Therefore, in this paper a digitally controlled mechanical solution is proposed which is inspired by the human flexor-extensor mechanism. The idea is to construct an antagonistic actuator pair analogous to the flexor and extensor muscles. In order to obtain good control performance even in the low-speed range, permanent magnet stepper motors were chosen as actuators that are commutated in a digitally closed-loop fashion. The operation of the controlled structure has been verified in a real experimental environment where measurements showed good results and match with previous simulations.
机译:当前的大多数机器人关节主要由旋转机构致动。这些电驱动器具有与人类肌肉系统中发现的特征实质上不同的特征。本文提出了一种经济有效的解决方案,以解决已知会在驱动器中引起定位误差和其他不良动态影响的现象。当电动机的预紧状态出现较大变化时,例如在具有高度自由度的机械手或手臂的情况下,这些错误尤其明显。当前的解决方案需要驱动器的精确时变模型,这在大多数实际情况下是不可用的。因此,在本文中,提出了一种数字控制的机械解决方案,该解决方案受人类屈伸肌机制的启发。这个想法是构造类似于屈肌和伸肌的拮抗致动器对。为了即使在低速范围也能获得良好的控制性能,选择了永磁步进电机作为执行机构,以数字闭环方式进行换向。受控结构的操作已在真实的实验环境中得到验证,在该实验中,测量结果显示出良好的结果并与以前的模拟相匹配。

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