基于模糊逻辑的车辆载荷测量误差校正

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI:10.1109/KES.1997.619442

L. Su, C. Komata

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引用次数: 2

摘要

在车辆载荷测量中，由于测量条件、传感器特性等的变化，存在测量精度问题。这个问题可以用加载状态的变化和各种不确定性来解释。在本研究中，我们考虑了一种车载负载指示器，并提出了一种误差校正技术来补偿负载测量中包含的误差，该技术采用模糊逻辑来处理具有多种不确定性的负载状态的变化。

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Error correction using fuzzy logic in vehicle load measurement

In vehicle load measurement, there is an accuracy problem caused by variations in the measuring condition, sensor characteristics, and so on. The problem can be explained by changes of loading states with a diversity of uncertainties. In this study, we consider an in-vehicle-type load indicator and propose an error correction technique to compensate the error contained in the load measurement, by using fuzzy logic for dealing with changes in the loading states with a diversity of uncertainties.

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Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97

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