基于BP神经网络的硅微陀螺仪温度补偿方法

来源 :东南大学学报(英文版) | 被引量 : 0次 | 上传用户:bao21987
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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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