基于DSP和ARM的谐波检测系统的研究与设计

发布时间：2018-04-04 11:01

本文选题：谐波检测　切入点：DSP　出处：《南京理工大学》2015年硕士论文

【摘要】：随着电力电子设备以及非线性负载的广泛使用,电网谐波污染问题日趋恶化,严重影响了电力系统的供电可靠性。为了保证供电系统能够安全经济地运行,对谐波进行实时检测和分析具有非常重要的意义。本论文主要对谐波测量的相关理论与技术进行分析和研究,设计并实现了基于DSP和ARM的谐波检测系统。本文首先研究基于准同步采样的谐波检测方法,该方法具有实时性高,且无需额外硬件同步电路的优点,节约了硬件成本,提高了测量准确性。其次提出了基于滤波器组的频率实时检测方案以及基于插值算法的准同步采样方法,并对该方法进行了仿真,以验证其准确性和有效性。然后完成了谐波检测系统的软、硬件设计：主要工作内容包括数据采集模块、DSP模块和ARM模块及其周边电路的硬件设计,以及基于DSP和ARM芯片的软件设计。最后完成了系统调试和功能验证。经过在实验室内的反复测试,本系统能够长时间稳定运行,且具有较高的测量精度和实时性,能够提供很好的分析数据,满足电力系统中谐波检测的要求。
[Abstract]:With the wide use of power electronic equipment and nonlinear load, the problem of harmonic pollution in power network is worsening day by day, which seriously affects the power supply reliability of power system.In order to ensure the safe and economical operation of power supply system, it is very important to detect and analyze harmonics in real time.In this paper, the theory and technology of harmonic measurement are analyzed and studied, and the harmonic detection system based on DSP and ARM is designed and implemented.This paper first studies the harmonic detection method based on quasi-synchronous sampling. The method has the advantages of high real-time performance and no extra hardware synchronization circuit. It saves the cost of hardware and improves the accuracy of measurement.Secondly, the frequency real-time detection scheme based on filter banks and the quasi-synchronous sampling method based on interpolation algorithm are proposed, and the simulation results are given to verify its accuracy and effectiveness.Then the software and hardware design of harmonic detection system is completed. The main work includes the hardware design of data acquisition module ARM module and its peripheral circuit as well as the software design based on DSP and ARM chip.Finally, the system debugging and function verification are completed.After repeated tests in the laboratory, the system can run stably for a long time, and has high measurement accuracy and real-time performance. It can provide good analysis data and meet the requirements of harmonic detection in power system.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM935

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