Compensation of nonlinear thermal bias drift of Resonant Rate Sensor using fuzzy logic
Compensation of nonlinear thermal bias drift of Resonant Rate Sensor using fuzzy logic
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DOI：
10.1016/s0924-4247(99)00241-1
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发表时间：
1999-12-14
影响因子：
4.6
通讯作者：
Hong, SK
中科院分区：
文献类型：
--
作者：
Hong, SK
在本文中，我们的注意力集中在补偿的非线性热偏差（零速率输出）的RRS（谐振速率传感器），这源于许多来源，包括制造公差，材料的不均匀性和不可避免的机械特性随温度的变化的缸漂移。受模糊逻辑处理非线性的能力的启发，在整个工作温度范围内，偏置的非线性由Takagi-Sugeno（TS）模糊模型表示。然后，通过从RRS的原始数据中减去估计输出，直接使用模糊模型来补偿非线性零漂。通过这样做，我们可以保证在整个工作温度范围内传感器的稳定性（针对温度变化）。(C)1999年Elsevier Science S.A. All rights reserved.
In this paper, our attention is focused on the compensation of the nonlinear thermal bias (zero-rate-output) drift of RRS (Resonant Rate Sensor), which originates from a number of sources, including manufacturing tolerances, material inhomogeneity and inevitable mechanical characteristic variation of the cylinder with temperature. Motivated by the capability of fuzzy logic in managing nonlinearity, the nonlinearity of bias was represented by Takagi-Sugeno (TS) fuzzy model over the entire range of the operating temperature. Then, the fuzzy model was directly used for compensation of nonlinear bias drift by subtracting the estimated output from the raw data of RRS. By doing this, we can guarantee robust (against temperature variations) sensor performance throughout the entire operating temperature range. (C) 1999 Elsevier Science S.A. All rights reserved.