光电检测电路噪声分析及误差补偿方法研究

摘要

A photoelectric detection circuit was designed for improving the accuracy of photoelectric detection and reducing the system error.On the basis of analyzing the noise of photoelectric detection circuit.the error compensation was proceeded on photoelectric detection circuit using lookup method , linear interpolation method , surface fitting method and adaptive neurofuzzy inference method, and the effects of the major error compensation method were compared.The measured data of photoelectric diode experimental platform was used as the sample data.The Simulation results in the MATLAB environment demonstrate that under the same condition, the adaptive neuro-fuzzy inference method( ANFIS) can improve the detecting accuracy, and is more effective than lookup method, linear interpolation method and surface fitting method.%为提高光电检测精度,减小系统误差,针对光电检测电路,在分析光电检测电路噪声的基础上,利用查表法、插值法、曲面拟合法及自适应神经模糊推理法对光电检测电路进行了误差补偿,并对误差补偿效果进行了对比分析,最后利用光电二极管实验平台的实测数据作为样本数据,在Matlab软件下进行了仿真.结果表明,在同等条件下,自适应模糊推理方法更能够提高检测精度,且补偿效果优于查表法、插值法和曲面拟合法.