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Multi-dimensional dynamic measurement uncertainty analysis for the six-axis force sensor used in docking system

机译:对接系统中使用的六轴力传感器的多维动态测量不确定性分析

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摘要

The tough space environment has a great influence on the reliability of the measurement results owing to the rapidly aging sensor. Also, the measurement uncertainty caused by the random factors seriously affects the accuracy of the sensor. Aiming at the multidimensional dynamic uncertainty problem of the six-axis force measurement, a six-axis force sensor for docking system is presented based on the piezoelectric force sensing element. The decoupling algorithm of the six-axis force sensor is proposed. Grey prediction model is employed to establish the dynamic uncertainty model in single channel. Residual test, correlation test and posterior error test are conducted to verify the reliability of the prediction model. The multidimensional dynamic uncertainty model of the six-axis force sensor is derived by combination of the decoupling algorithm and the dynamic uncertainty in single channel. The multidimensional dynamic uncertainty model of the six-axis force sensor can avoid the error signals for the force feedback control in the space environment, and the model can also be employed for the measurement of six-axis force in any other harsh conditions.
机译:由于快速老化传感器,艰难的空间环境对测量结果的可靠性产生了很大的影响。此外,由随机因子引起的测量不确定性严重影响传感器的准确性。针对六轴力测量的多维动态不确定性问题,基于压电力传感元件提出了一种用于对接系统的六轴力传感器。提出了六轴力传感器的去耦算法。采用灰色预测模型在单通道中建立动态不确定性模型。进行残余测试,相关试验和后误差测试以验证预测模型的可靠性。六轴力传感器的多维动态不确定性模型通过分离算法和单通道中的动态不确定性而导出。六轴力传感器的多维动态不确定性模型可以避免空间环境中的力反馈控制的误差信号,并且还可以采用模型来测量任何其他恶劣条件中的六轴力。

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