| 用电容式加速度传感器进行角度测量的非线性标定技术 |
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| 引用本文： | 陈晴岚,胡雄.用电容式加速度传感器进行角度测量的非线性标定技术[J].上海海事大学学报,2008,29(3):37-40. |
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| 作者姓名： | 陈晴岚 胡雄 |
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| 作者单位： | 上海海事大学,物流工程学院,上海,200135 |
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| 摘 要： | 针对采用基于电容传感原理的加速度传感器来实现角度测量时出现的非线性问题,提出数据预处理与广义回归神经网络(Generalized Regression Neural Network, GRNN)相结合的非线性标定技术.结合实验,详细分析该技术的标定过程,并对该技术与单一使用GRNN进行标定的标定结果进行对比.实验结果表明,该技术标定速度快、精度高、鲁棒性强、实时性好,能有效拓展电容式加速度传感器用于角度测量的线性范围,有较高的工程实用价值.
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| 关 键 词： | 电容式加速度传感器 非线性标定 广义回归神经网络 角度测量 |
| 收稿时间： | 1/3/2008 12:00:00 AM |
| 修稿时间： | 2008/4/23 0:00:00 |
Non-linear calibration technology of capacitive accelerometer for angle measurement |
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| CHEN Qinglan and HU Xiong.Non-linear calibration technology of capacitive accelerometer for angle measurement[J].Journal of Shanghai Maritime University,2008,29(3):37-40. |
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| Authors: | CHEN Qinglan and HU Xiong |
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| Institution: | Logistics Engineering College, Shanghai Maritime Univ.;Logistics Engineering College, Shanghai Maritime Univ. |
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| Abstract: | When capacitive accelerometer is used in angle measurement, the measurement results are inaccurate because of its non-linear characteristics. In order to solve this problem, a non-linear calibration
technology, which integrates the data pre-process and Generalized Regression NeuralNetwork (GRNN) ,
is put forward. The calibration process of this technology is analyzed in detail through experiments. The calibration results and the other one, which only uses GRNN to calibrate, are also compared in the experiments. The experiments show that this technology has the features of fast calibrating speed, high precision, strong robustness and good real-time performance, which greatly expands the linear range of the capacitive accelerometer for angle measurement and has great value in engineering measurement. |
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| Keywords: | capacitive accelerometer non-linear calibration generalized regression neural network angle measurement |
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