Preprocessing Method Sensor Fusion of Stream MEMS Sensors Array Data to Build a MIMO Dynamic Model Anthropomorphic Manipulator

Kseniya I. Boldareva, A. Lukyanov
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Abstract

Any manipulative movement by an anthropomorphic manipulator requires high accuracy and speed. To determine the exact orientation of the robot's brush in space, many sensors are used, signal processing of which can be quite complex. The approach of processing signals from a heterogeneous array of sensor data using sensor fusion technology greatly simplifies this operation. The article discusses the approach of creating a MIMO model of an anthropomorphic manipulator with data processing of sensor fusion MEMS sensors. The test results show that with this approach, many disadvantages are eliminated, system performance is accelerated and accuracy is increased.
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基于流MEMS传感器阵列数据的传感器融合预处理方法构建MIMO动态模型拟人机械手
拟人机械手的任何操作动作都要求高精度和高速度。为了确定机器人的刷子在空间中的准确方向,需要使用许多传感器,这些传感器的信号处理可能相当复杂。利用传感器融合技术处理来自异构传感器数据阵列的信号的方法大大简化了这一操作。本文讨论了利用传感器融合MEMS传感器的数据处理方法建立拟人机械手的MIMO模型的方法。测试结果表明,该方法消除了许多缺点,加快了系统性能,提高了系统精度。
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