现代电子技术2018，Vol.41Issue(10)：58-62,66,6.DOI:10.16652/j.issn.1004⁃373x.2018.10.015
基于PSO优化SVM的MEMS加速度计温度补偿方法研究
Research of temperature compensation method for MEMS accelerometer based on SVM optimized by PSO
摘要
Abstract
Temperature has great influence on the performance of MEMS accelerometer. Combined with the structure and temperature characteristics of the pendulous silicon micro-accelerometer,an adaptive weight based particle swarm optimization (AW-PSO)algorithm is adopted to optimize support vector machine algorithm and create the temperature compensation model for MEMS accelerometer. STM32F405RG64 is used to realize the real-time temperature compensation system. The experimental results show that after compensation,the scale factor temperature coefficient,full-temperature zero bias range and non-linearity of the accelerometer are reduced from 264 ppm/℃,71.98 mg and 2.07% before compensation to 105 ppm/℃,10.31 mg and 0.25% respectively,which indicates that after compensation,the accelerometer performance is obviously improved,and the ef-fectiveness and feasibility of the method are demonstrated.关键词
MEMS加速度计/扭摆式硅微加速度计/粒子群优化算法/自适应权重/支持向量机/温度补偿Key words
MEMS accelerometer/pendulous silicon micro-accelerometer/PSO/adaptive weight/SVM/temperature com-pensation分类
信息技术与安全科学引用本文复制引用
刘滔,徐大诚,赵鹤鸣..基于PSO优化SVM的MEMS加速度计温度补偿方法研究[J].现代电子技术,2018,41(10):58-62,66,6.基金项目
国家自然科学基金重点项目(61434003) （61434003）
装备预研基金项目(9140A09032015)Project Supported by Key Program of National Natural Science Foundation of China(61434003),Equipment Pre-Research Program(9140A09032015) （9140A09032015）
