| 基于BP神经网络的硅微陀螺仪温度补偿方法（英文） |
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| 引用本文： | 夏敦柱,王寿荣,周百令.基于BP神经网络的硅微陀螺仪温度补偿方法（英文）[J].东南大学学报,2010,26(1):58-61. |
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| 作者姓名： | 夏敦柱 王寿荣 周百令 |
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| 作者单位： | 东南大学微惯性仪表与先进导航技术教育部重点实验室; |
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| 基金项目： | The National High Technology Research and Development Program of China (863 Program)(No.2002AA812038);;the NationalNatural Science Foundation of China (No.60974116) |
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| 摘 要： | 研究了硅微陀螺的温度特性,提出了硅微陀螺仪的温度补偿方法.首先,采用开环电路测试了微陀螺仪的谐振频率和品质因素随温度变化的情况,并采用闭环电路测试了微陀螺整机零偏随温度变化规律.然后,为研究降低温度对微陀螺性能的影响,提出了一种基于误差反向传播（BP）神经网络的温度补偿方法.通过Matlab仿真,基于BP神经网络温度补偿的优化模型经过4步就得到很好训练,并使全温范围内微陀螺零偏的目标误差达到0.001.该补偿方法实时运行试验结果表明,环境温度在-40 ～80℃变化过程中,微陀螺仪的最大零偏经过补偿能从12.43（°） /s降低到0.75（°） /s,从而大大提高了微陀螺仪的零偏稳定性.
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| 关 键 词： | 硅微陀螺仪 温度特性 误差反向传播神经网络 温度补偿 |
Temperature compensation method of silicon microgyroscope based on BP neural network |
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| Xia Dunzhu,Wang Shourong,Zhou Bailing.Temperature compensation method of silicon microgyroscope based on BP neural network[J].Journal of Southeast University(English Edition),2010,26(1):58-61. |
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| Authors: | Xia Dunzhu Wang Shourong Zhou Bailing |
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| Institution: | Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology of Ministry of Education;Southeast University;Nanjing 210096;China |
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| Abstract: | The temperature characteristics of a silicon microgyroscope are studied, and the temperature compensation method of the silicon microgyroscope is proposed. First, an open-loop circuit is adopted to test the entire microgyroscope's resonant frequency and quality factor variations over temperature, and the zero bias changing trend over temperature is measured via a closed-loop circuit. Then, in order to alleviate the temperature effects on the performance of the microgyroscope, a kind of temperature compensat... |
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| Keywords: | silicon microgyroscope temperature characteristic error back propagation neural network temperature compensation |
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