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文章摘要
基于模型设计思想的功率测量技术研究
Model-Based Design Method in Power Measurement Research
Received:December 27, 2013  Revised:February 18, 2014
DOI:
中文关键词: 基于模型设计  功率测量  自动代码生成  Matlab/Simulink  FPGA  ARM
英文关键词: Model-Based Design, Power measurement, Automatic code generation, Matlab/Simulink, FPGA, ARM
基金项目:
Author NameAffiliationE-mail
fengcan* Shanghai Jiao Tong University charlenefengcan@163.com 
LIGANG Shanghai Electric Tool Research Institute  
ZHAO GANG Shanghai Jiao Tong University  
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中文摘要:
      按照基于模型设计(Model-Based Design, MBD)的思想,设计了功率测量系统的Matlab/Simulink模型。对测量物理环境及信号调理电路建模,使初期算法测试与后期硬件实现相结合。Matlab/Simulink模型全面测试了算法,能帮助我们改善数字测量系统的开发流程。通过Simulink软件包和函数库建立了四种可移植的算法模型,并选取了准同步采样算法、小波包分析两种测量算法实现功率测量。并通过软件在环测试比较了这两种算法,验证不同频率、谐波组合、功率因数及非平稳波形下算法的精度。基于模型设计的优势是,通过Simulink中的RTW-EC(Real-Time Workshop Embedded Coder)工具箱将算法模型自动生成C代码并下载至ARM等目标器件中。实验证明了自动生成的C代码可用在ARM中,测量效果令人满意。
英文摘要:
      A digital simulation model of power measurement system was designed based on a Model-Based Design method under Matlab/Simulink environment. The physical environment and signal conditioning circuit was modeled which combined early algorithm simulation with late hardware implementation. The validation of the algorithm was tested by Matlab/Simulink from all aspects, which can help us improve the developing procedure of digital measurement system. Four types of portable power measurement models were established with the help of Simulink software package and Simulink function library. Also power measurement was realized by selecting two types of measurement algorithm, quasi-synchronous sampling method and wavelet packet transform algorithm. These two algorithms were compared with the method of software in the loop test, which verified the accuracy of algorithms in the condition of different frequency, combination harmonic, power factor and non-stationary waveforms. The advantage of MBD is to use RTW-EC toolbox in Simulink to generate C code automatically and download to ARM. The automatically generated C code measurement in the ARM was proved through experiment result which satisfied the expectation.
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