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硅微谐振式加速度计相位控制环路优化研究
引用本文:李文祥,黄丽斌,王淞立.硅微谐振式加速度计相位控制环路优化研究[J].测控技术,2018,37(6):55-59.
作者姓名:李文祥  黄丽斌  王淞立
作者单位:东南大学仪器科学与工程学院,江苏南京,210096 航空工业西安飞行自动控制研究所惯性技术航空科技重点实验室,陕西西安,710065
基金项目:航空科学基金项目(20140869004)
摘    要:硅微谐振式加速度计(MSRA)凭借其潜在的高精度特点成为微加速度传感器领域的重点研究方向之一.相位环路的控制精度直接决定了MSRA的测量精度.在对MSRA工作机理进行简要分析的基础上,着重研究了现实验室加速度计样机的相位控制环路,分析了其相位误差的来源,并在原有环路滤波器的基础上增加了一种带参考电压的PI校正控制环节.实验结果表明,增加PI校正环节后,组成的四阶二型锁相环路可以使差分频率输出与温度线性拟合的相关系数从0.96291提高至0.98863,在±20 g量程围内,非线性度从430 ppm降低至154 ppm,硅微谐振式加速度计的零偏稳定性在常温下达到8.64 μg.

关 键 词:硅微谐振式加速度计  环路滤波器  相位误差  零偏稳定性  micromachined  silicon  resonant  accelerometer  loop  filter  phase  error  zero  bias  stability

Study on Optimization of Phase Control Loop for Micromachined Silicon Resonant Accelerometer
LI Wen-xiang,HUANG Li-bin,WANG Song-li.Study on Optimization of Phase Control Loop for Micromachined Silicon Resonant Accelerometer[J].Measurement & Control Technology,2018,37(6):55-59.
Authors:LI Wen-xiang  HUANG Li-bin  WANG Song-li
Abstract:Micromachined silicon resonant accelerometer (MSRA) with its potential high accuracy has become one of the key research directions in the field of micro accelerometers.The control precision of the phase loop directly determines the measurement accuracy of MSRA.Based on the brief analysis of the working mechanism of MSRA,the phase control loop of the accelerometer in the laboratory was studied emphatically,and the source of the phase error was analyzed,and on the basis of the original loop filter,a PI correction control loop with reference voltage was added.The experimental results show that after adding the PI correction,the fourth order and second type phase locked loop can make the correlation coefficients between differential frequency output and temperature linear fitting increase from 0.96291 to 0.98863,the nonlinearity reduces from 400 ppm to 154 ppm with the range of ± 20 g,the zero bias stability of silicon micro resonant accelerometer is 8.64 μg at room temperature.
Keywords:micromachined silicon resonant accelerometer  loop filter  phase error  zero bias stability
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