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Temperature Compensation of MEMS Gyroscope Based on Support Vector Machine Optimized by GA
Yang, Yuan1; Liu, Ying1; Liu, Yanghong1; Zhao, Xiaodong2
2019-12
会议名称2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
会议录名称2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
页码2989-2994
会议日期2019-12-06
会议地点Xiamen, China
出版者Institute of Electrical and Electronics Engineers Inc.
产权排序2
摘要

The output of MEMS gyroscope is affected by temperature, which will produce temperature drift and affects the precision of gyroscope. To solve this problem, this paper proposes a method based on GA optimized support vector machine to compensate the temperature of gyroscope. Seven temperature points are selected in the whole temperature region as samples. Support vector machine (SVM) based on radial basis kernel function is adopted for modeling, and GA is used to optimize SVM parameters to further improve the accuracy of gyro temperature compensation. Experimental results show that the method proposed in this paper is more effective than traditional least square method and BP neural network. © 2019 IEEE.

关键词MEMS gyroscope support vector machine genetic algorithm temperature compensation
作者部门光学定向与测量技术研究室
DOI10.1109/SSCI44817.2019.9003139
收录类别EI ; CPCI
ISBN号9781728124858
语种英语
WOS记录号WOS:000555467203013
EI入藏号20201108276729
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/93316
专题光学定向与测量技术研究室
作者单位1.Xi'an University of Posts and Telecommunications, School of Automation, Xi'an, China;
2.Xi'an Institute of Optics and Precision Mechanics of CAS, Optical Direction and Measurement Technique Research Department, China
推荐引用方式
GB/T 7714
Yang, Yuan,Liu, Ying,Liu, Yanghong,et al. Temperature Compensation of MEMS Gyroscope Based on Support Vector Machine Optimized by GA[C]:Institute of Electrical and Electronics Engineers Inc.,2019:2989-2994.
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