Artificial neural networks inversion based dynamic compensator of sensors

X. Dai, M. Yin, Qin Wang, Wancheng Wang
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引用次数: 10

Abstract

A novel dynamic compensator of sensors based on ANN (artificial neural networks) inversion is proposed according to the theory of inverse methods and excellent approach abilities of ANN. ANN inversion-based dynamic compensator of sensor is achieved through offline training the ANN inversion that combines the static ANN and dynamic factors. The dynamic performance of sensor is improved effectively by cascading ANN inversion with the original sensor. Simulation and experiment results indicate that the dynamic performance of sensor is remarkably improved and enhanced using the proposed compensator.
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基于人工神经网络反演的传感器动态补偿器
根据逆方法理论和人工神经网络的优良逼近能力,提出了一种基于人工神经网络逆的传感器动态补偿器。基于人工神经网络反演的传感器动态补偿器是通过离线训练将静态人工神经网络与动态因素相结合的人工神经网络反演实现的。通过与原传感器级联的人工神经网络反演,有效地提高了传感器的动态性能。仿真和实验结果表明,该补偿器显著改善和增强了传感器的动态性能。
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