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Updated: Jun 25, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

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基于完善的完整合体实证模式分解和优化极端学习机器的MEMS陀螺仪温度补偿

Zhihao Zhang1, Jintao Zhang1, Xiaohan Zhu2

  • 1Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

Micromachines
|May 25, 2024
PubMed
概括

本研究介绍了一种混合算法,用于在双质量MEMS陀螺仪中进行温度补偿. 该方法通过减少角度随机步行和偏差不稳定性,显著提高陀螺仪的准确性.

关键词:
双质量MEMS陀螺仪的陀螺仪.极端学习的机器学习.改进了完整整合体实证模式分解与自适应噪声.非主导排序的遗传算法-IIII样本的度是什么样子温度补偿是一种温度补偿.时间频率峰值过

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