Abstract
Dead time estimation is important in the design process of quartz flexure accelerometers. However, to the authors’ knowledge, the dead time existing in quartz flexure accelerometers is not well investigated in conventional identification studies. In this paper, the dead time, together with the open-loop transfer function of quartz flexure accelerometers, is identified from step excitation experiments using two steps. Firstly, a monotonicity number was proposed to estimate the dead time. Analysis showed that the monotonicity number was robust enough to measurement noise and sensitive to step excitation. Secondly, parameters of the open-loop transfer function were identified using the least mean squares algorithm. A simulation example was applied to demonstrate the validity of the proposed method. The verified method was used to test a quartz flexure accelerometer. The experimental result shows that the dead time was 500 μs.
Highlights
Since their development in the 1990s, quartz flexure accelerometers (QFAs) have been widely used in many fields, such as inertial navigation systems [1], the drilling industry [2,3], and microgravity measurements [4,5,6]
The iron cross was puttested on twousing height adjusting devices, and the bottom of quartz flexure accelerometer was the dead time estimation parameter the iron cross could be horizontal by adjusting the height
The quartz flexure accelerometer based on on thethe new structure achieved a significant development, The quartz flexure accelerometer based new structure achieved a significant development, because it overcame the precision loss inherently existing in the transforming process of analog because it overcame the precision loss inherently existing in the transforming process ofquartz analog flexure accelerometers
Summary
Since their development in the 1990s, quartz flexure accelerometers (QFAs) have been widely used in many fields, such as inertial navigation systems [1], the drilling industry [2,3], and microgravity measurements [4,5,6]. An analog-to-digital converter is required between the accelerometer and the digital signal processor This analog-to-digital converter is not included in the closed-loop of QFA, the drift of the converter directly degrades the accuracy of the acceleration measurements. One way is to use the differential equations and collect all the physical parameters required. This method is not feasible in practice, because the mechanism part of the QFA is enclosed in an airtight shell. Many studies have been conducted on identification methods for QFAs [9,10,11] These studies have neglected dead time in the identifying process. This paper develops a method of estimating the dead time and the transfer function of QFAs
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