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光镊系统中QD器件标定与非线性修正技术研究
Research on Calibration of QD Device and Non-linear Correction in Optical Tweezers System
【摘要】 分析了四象限探测仪器件的工作原理及非线性成因,并结合光镊系统的特点,提出了神经网络的BP算法对四象限探测仪进行非线性修正,从而使非线性区也得以利用,在不增加成本、不改变测量设备复杂度的情况下,扩大了光镊系统测量范围,提高了测量精度。研究表明,该方法还可用于其它类似系统的非线性校正。
【Abstract】 The operational principle and the causes of non-linearity of device of quadrant detector(QD) are analyzed.Combining with the characteristic of optical tweezers system,the method by using BP algorithm of neural network to correct the non-linearity of QD was provided,thus the non-linear section could be also adopted.The measurable range of optical tweezers system was extended and the measurement accuracy was enhanced without increasing the complexity of hardware even the cost.The research indicates that this method can be also used to realize non-linearity correction in other similar systems.
【Key words】 Quadrant detector(QD) Artificial neural network L-M algorithm Non-linear correction Optical tweezers;
- 【文献出处】 自动化仪表 ,Process Automation Instrumentation , 编辑部邮箱 ,2007年09期
- 【分类号】TN36
- 【被引频次】4
- 【下载频次】115