| 模拟信号失真度测量装置设计与实现 |
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| 引用本文： | 刘超,胡志华,古丽扎提·海拉提,黄淼.模拟信号失真度测量装置设计与实现[J].上海第二工业大学学报,2023,40(4):332-339. |
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| 作者姓名： | 刘超 胡志华 古丽扎提·海拉提 黄淼 |
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| 作者单位： | 1. 上海第二工业大学a. 职业技术教师教育学院;,b. 智能制造与控制工程学院, 上海201209;,2. 新疆工程学院能源工程学院, 新疆830091,b. 智能制造与控制工程学院, 上海201209; |
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| 基金项目： | 国家自然科学基金项目(62003205, 62203291) 资助 |
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| 摘 要： | 信号处理技术在电子领域的设计和应用中尤为重要。信号在开闭路传输过程中会受到环境、传输网络工作状态和应用元器件参数的影响,使其原有信号的性质发生改变,存在信号失真问题。基于TMS320F28335平台设计了信号失真度测量装置,首先将输入信号经过运放电路与偏移电路变换到模数转换器(analog to digital converter,ADC)允许的采样范围内,再通过快速傅里叶变换算法(fast Fourier transform, FFT)得到基波与谐波的归一化幅值,采用频域分析方法计算信号采样数据的失真度。同时,实现了将检测结果同步显示在触摸屏和手机程序上,增强了实际应用性。最后,通过实验测试表明,该信号失真度测量装置的测量误差达到了0.7%,且具有良好的实时性和稳定性。
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| 关 键 词： | 数字信号处理 信号失真度 总谐波失真 快速傅里叶变换算法 |
Design and Implementation of Analog Signal Distortion Measurement Device |
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| LIU Chao,HU Zhi-hu,Gulizhati Hailati and HUANG Miao.Design and Implementation of Analog Signal Distortion Measurement Device[J].Journal of Shanghai Second Polytechnic University,2023,40(4):332-339. |
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| Authors: | LIU Chao HU Zhi-hu Gulizhati Hailati and HUANG Miao |
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| Affiliation: | 1a. College of Vocational and Technical Teacher Education;,1b. School of Intelligent Manufacturing and Control, Shanghai Polytechnic University, Shanghai 201209, China;,2. School of Energy Engineering, Xinjiang Institute of
Engineering, Xinjiang 830091, China and 1b. School of Intelligent Manufacturing and Control, Shanghai Polytechnic University, Shanghai 201209, China; |
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| Abstract: | Signal processing technology is particularly important in the design and application of electronic fields. Signals are affected by environment, transmission network working status and application components parameters in open and closed loop transmission process, causing the original signal characteristics to change and signal distortion problems. A signal distortion measurement device
based on TMS320F28335 platform is designed. Firstly, the input signal is converted to the sampling range allowed by the analog to digital converter (ADC) through operational amplifier circuit and offset circuit. Then, the normalized amplitude of fundamental wave and harmonics is obtained by fast Fourier transform algorithm (FFT). Frequency domain analysis is used to calculate the distortion
of signal sampling data. At the same time, the detection results can be synchronized displayed on the touch screen and mobile APP, which enhances the practical application. Finally, the experimental test results show that the measurement error of the signal distortion measurement device reaches 0.7%, and it has good real-time and stability. |
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| Keywords: | digital signal processing signal distortion total harmonic distortion fast Fourier transform |
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