Fuzzy Modeling and Compensation of Scale Factor for MEMS Gyroscope
Fuzzy Modeling and Compensation of Scale Factor for MEMS Gyroscope
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DOI：
10.5755/j01.mech.17.4.571
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发表时间：
2010-12
期刊：
影响因子：
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通讯作者：
Jianli Li;D. Min
中科院分区：
文献类型：
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作者：
Jianli Li;D. Min
MEMS陀螺仪的标度因数误差是影响陀螺仪性能的重要因素，对其误差进行分析和补偿是提高陀螺仪性能的关键。基于双框架MEMS陀螺仪的工作原理，分析了陀螺仪标度因数的失调误差、非线性误差和非对称误差的物理来源。提出了标度因子的误差模型。提出了一种补偿比例因子的模糊逻辑方法。实验结果表明，陀螺的动态原始误差为4053.2º/h（1 s），经模糊逻辑补偿后，误差提高到79.0 º/h（1 s）。与传统的一阶曲线拟合法和分段法相比，模糊逻辑补偿的陀螺精度分别提高了15.4倍和7.5倍。验证了模糊模型和补偿的准确性，提高了陀螺仪的动态机动能力。
For MEMS gyroscope, The error of scale factor is severe and therefore vital to analyze and compensate the error to improve the performance of gyroscope. Based on the operational principle of Dual Gimbaled MEMS gyroscope, it is analyzed that the physical origin of offset, nonlinear and asymmetry errors of scale factor. The error model of scale factor is proposed. The fuzzy logic, a method to compensate scale factor, is presented. The experimental results show that the dynamic raw error of gyroscope is 4053.2º/h (1s), and error compensated by the fuzzy logic is improved to79.0º/h (1s). Compared with the conventional methods of 1th order curve fitting and segmented methods, the precision of gyroscope compensated by fuzzy logic is improved 15.4 and 7.5 times respectively. It verifies the accuracy of the fuzzy model and compensation, and improves of gyroscope in dynamic maneuvering.