基于FPGA的微电流传感器相位差自校正系统  

An FPGA-based Phase Self-calibration System for Micro-current Sensor

作　　者：陈刚[1] 陈旭[1] 陈天翔[2] 龚国良[1] 边昳[1] 鲁华祥[1] 

机构地区：[1]中国科学院半导体研究所,北京市100083 [2]厦门理工学院电子与电气工程系,福建省厦门市361005

出　　处：《电力系统自动化》2013年第20期102-107,共6页Automation of Electric Power Systems

基　　金：中国科学院战略性先导科技专项(XDA06020700)

摘　　要：微电流传感器是提取弱电流信号的关键设备,但在实际应用中由于温度、湿度、现场强电磁干扰、冲击电流、运行时间漂移等因素会使其相位特性发生变化,从而给对相位敏感的应用带来很严重的影响,比如表征电力设备绝缘状况的重要特征量——介质损耗tanδ的测量。文中引入负熵极大的FastICA算法,利用现场可编程门阵列(FPGA)设计实现了一种微电流传感器相位差自校正系统。设计中采用单精度浮点数运算单元,并针对算法的特点对硬件结构进行了优化。实验结果表明,所设计系统的测量精度、速度、抗噪声能力以及抗频漂能力满足工程要求。The micro-current sensor is the key equipment for picking up the weak current signal. However, in practical applications such factors as temperature, humidity, strong electromagnetic interference, surge current, and run-time drift will change its phase characteristics, exerting a significant impact on phase-sensitive measurement, as in the case of the dielectric loss tan δ measurement for electrical equipment insulation online monitoring. To solve this problem, the FastICA algorithm is introduced in this paper. The field programmable gate array （FPGA） implementation of the phase self-calibration system for the micro-current sensor is proposed. The floating-point units are used in this implementation and the structure of the algorithm is optimized. The results show that the measuring precision, speed, and the fault-tolerant ability of the designed system meet engineering requirements.

关 键 词：微电流传感器 介质损耗 FASTICA算法 相位差 自校正 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]