【作者】 朱雪枝；

【导师】 王学伟；

【作者基本信息】 北京化工大学 ， 检测技术与自动化装置， 2004， 硕士

【摘要】 目前,多功能电量测试仪在我国工业中具有非常广泛的应用,国内的许多研究部门和仪器生产企业曾先后开发了电参量测量的仪器。但是,由于测量方法和技术的限制,这类仪器的频率范围局限在工频,不适合中频范围电参量的准确测量。然而,电气化铁路、电弧冶炼、感应加热、航空和舰船等领域急需宽频率范围的多参数电参量测量仪器,用于对中频电参量进行准确测量及电能消耗的正确评估,从而既能保证生产的正常进行,又能够节省能源。因此,研究中频电参量的测量方法,设计和开发中频范围的电参量测量仪器,不但具有广泛的应用领域,而且还具有十分重要的理论意义。本文通过对现有电参量测量主要方法的深入分析、比较和研究,指出了各种电参量测量方法的优缺点。经过充分地理论研究、细致的电路设计和全面的实验测试,得到以下几个方面的成果:1)建立了多电参量测量的数学模型,研究提出了并行有效值神经元构成的神经网络方案,实现信号的快速准确测量以及频率范围的扩展;2)根据并行有效值的神经网络,设计实现了多参数电参量(电压、电流、功率、频率和功率因数)测量的硬件电路和软件程序,并对电路和软件程序进行了调试;3)研究了神经网络实现多参数电参量测量的误差,提出了误差二元函数插值校正的简化方法,较好地实现仪器系统误差的校正。此外,该测试仪研制成功以后,在国家计量研究院进行测试,功率的测量频率范围在1kHz内,准确度优于0.5%,电压电流的测量频率范围可达5kHz,准确度优于0.2%。更多还原

【Abstract】 At present, multi-electric parameters measurement instruments have a far-ranging application in our industry, and many research departments and companies in domestic have developed them. But instruments of this kind are only subject to 50Hz or so because of the limitation of measurement methods and technique. However, it is very necessary for electrical railway, electrical arc smelt, inductive heating, aviation section and ship section and so on to introduce multi-parameters electrical measurement instruments with wide frequency. This can realize accuracy measurement and correct evaluation of electrical energy consumption and ensure proper production and energy saving. So, it has very wide applied fields and very important theoretic meaning to study, design and develop audio-frequency measurement technique to measure audio-frequency electric parameters.This paper analyzes, compares and studies several main methods of electrical-parameter measurement, then points out their advantages and disadvantages. After thorough theoretical study, careful circuit design and all-around experimental measurement, some results have been obtained. 1) Setup the mathematic model of electric parameters, study and bring <WP=5>forward a neural network scheme with parallel TRMS neurons which can realize fast and accuracy measurement and expansion of signal frequency; 2) design and realize hardware circuits and software program used for electrical signal measurement according to neural network of parallel TRMS, and has debugged circuits and software; 3) study error of electrical parameters measurement realized by certain neural network, and put forward a simple error calibration method that can effectively realize the calibration of instrument system error. This instrument has been tested in National Institute of Metrology P. R. China after developed. The accuracy of power is 0.5% over the range (45~1kHz, subject to voltage and current range). The accuracy of voltage and current is 0.2% over the range (45~5kHz, 0~600V, 0~20A, respectively).更多还原