| 基于改进灰色模型的MEMS陀螺仪零偏温度补偿 |
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| 引用本文： | 黄河明,向高林,刘宇,季廷洪,刘琼,蒋太保.基于改进灰色模型的MEMS陀螺仪零偏温度补偿[J].重庆邮电大学学报(自然科学版),2015,27(6):809-813. |
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| 作者姓名： | 黄河明 向高林 刘宇 季廷洪 刘琼 蒋太保 |
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| 作者单位： | 1. 重庆邮电大学移动通信重庆市重点实验室,重庆,400065;2. 重庆邮电大学光电信息感测与传输技术重庆市重点实验室,重庆,400065;3. 重庆邮电大学移动通信重庆市重点实验室,重庆400065;重庆邮电大学光电信息感测与传输技术重庆市重点实验室,重庆400065 |
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| 基金项目： | 国家自然科学基金(51175535);重庆市研究生科研创新项目（CYS15163);国际联合研究中心科技平台与基地建设（CSTC2014gjh0038) |
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| 摘 要： | 微机电系统(micro-electro mechanical system,MEMS)陀螺仪的零点漂移是影响陀螺仪测量精度的主要因素.针对MEMS陀螺仪零点漂移随温度变化的非线性问题,以MEMS惯性传感器为试验对象,采用小波变换对MEMS陀螺静态实验零偏数据进行滤波,结合改进灰色预测模型估计零偏随温度变化趋势,获得基于小波变换和改进灰色预测的温度补偿模型.与常规补偿模型算法比较表明,基于小波变换和改进灰色预测的温度补偿模型均方根误差和平均绝对误差更小,MEMS陀螺仪零点漂移的均方根误差和平均绝对误差分别减少到0.025 0和0.018 0,验证了该补偿模型的可行性,对提高陀螺测量精度具有较好的理论意义和工程应用价值.
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| 关 键 词： | MEMS陀螺仪 零偏 小波变换 灰色预测理论 温度补偿 |
| 收稿时间： | 2015/3/13 0:00:00 |
| 修稿时间： | 2015/10/23 0:00:00 |
Temperature compensation of zero drift in MEMS gyroscopes based on the improved grey prediction model |
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| HUANG Heming,XIANG Gaolin,LIU Yu,JI Tinghong,LIU Qiong and JIANG Taibao.Temperature compensation of zero drift in MEMS gyroscopes based on the improved grey prediction model[J].Journal of Chongqing University of Posts and Telecommunications,2015,27(6):809-813. |
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| Authors: | HUANG Heming XIANG Gaolin LIU Yu JI Tinghong LIU Qiong and JIANG Taibao |
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| Institution: | Key Laboratory of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China,Chongqing Municipal Level Key laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China,1.Key Laboratory of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China; 2.Chongqing Municipal Level Key laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China,Chongqing Municipal Level Key laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China,Chongqing Municipal Level Key laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China and Chongqing Municipal Level Key laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China |
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| Abstract: | The zero drift of MEMS gyroscope is the major factor that determines measurement accuracy of gyroscope. According to the nonlinear issue of MEMS gyro zero drift related to temperature, one kind of smoothing with wavelet transform was employed in dealing with static experiment zero drift data for the MEMS inertial sensor. Then the trend of zero drift was estimated by utilizing the improved grey prediction model when the temperature changed. Finally, the solution of temperature compensation based on wavelet transform and improved grey prediction model was proposed. Compared with the conventional temperature compensation model, the results indicated that the temperature compensation model based on wavelet transform and improved grey prediction model had smaller root mean square error and mean absolute error, which were decreased to 0.025 0 and 0.018 0 respectively. The feasibility of the compensation model was verified. The new temperature compensation model had good theoretical significance and broad prospects in engineering applications for improving the measurement accuracy of the MEMS gyroscope. |
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| Keywords: | MEMS gyroscope zero drift wavelet transform grey prediction temperature compensation |
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