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Force feedback controller based on fuzzy-rules emulated networks and Hertzian contact with ultrasound

机译:基于模糊规则仿真网络和超声赫兹接触的力反馈控制器

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摘要

In this paper, a novel force controller which combines a neuro-fuzzy algorithm and a contact ultrasonic probe is presented. The fuzzy rules emulated network (FREN) has a control algorithm structure based on fuzzylF-THEN rules. The contact probe is constructed of an ultrasonic transducer and a force sensor integrated on a semi-spherical head controlled by a robotic system of four degrees of freedom. The experimental results show that the proposed system exhibits high sensitivity to initial instantaneous contact and it could provide an estimation of reaction force and elastic modulus of the test material by analyzing loading/unloading cycles. The system was tested on samples with different mechanical properties.
机译:本文提出了一种结合了神经模糊算法和接触式超声探头的新型力控制器。模糊规则仿真网络(FREN)具有基于FuzzyIF-THEN规则的控制算法结构。接触式探头由超声换能器和力传感器构成,该传感器集成在由四个自由度的机器人系统控制的半球形头部上。实验结果表明,所提出的系统对初始瞬时接触具有较高的灵敏度,并且可以通过分析加载/卸载循环来估计测试材料的反作用力和弹性模量。该系统在具有不同机械性能的样品上进行了测试。

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