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In Circuit Frequency Response Analysis for Control Design and Monitoring of Power Converters

机译:在线频率响应分析,用于功率转换器的控制设计和监控

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摘要

In power electronic applications, frequency response analysis (FRA) data is used to analyze the plant, design the control and verify the control design. Traditionally, external equipment is used to measure the frequency response by breaking the feedback path and injecting signals inside the closed loop system. This limits the use of FRA to design time of the converter. Recently in-circuit FRA measurement techniques have been presented. However, most techniques so far have required either special hardware to run, like FPGA, or required host processing power to do the complete computation.;The aim of this research is to:;• Design an in-circuit frequency response measurement algorithm that can run in a cycle efficient manner without any host computation requirements and is easily embedded into a commercial microcontroller used for controlling the power stage.;• Highlight the constraints and assumptions under which in-circuit FRA can work, along with limits of in-circuit FRA such as noise performance and frequency bands.;• Develop and demonstrate use of the designed in-circuit FRA on DC-DC, AC-DC and DC-AC converters, proving and highlighting the wide applicability of the developed technique for rapid control design.;• Apply the developed in-circuit FRA for monitoring and diagnostic applications, showcasing applicability for extending capabilities with digital control of power converters.
机译:在电力电子应用中,频率响应分析(FRA)数据用于分析设备,设计控件并验证控件设计。传统上,外部设备用于通过断开反馈路径并将信号注入到闭环系统中来测量频率响应。这限制了使用FRA来设计转换器的时间。最近,已经提出了在线FRA测量技术。但是,到目前为止,大多数技术都需要运行特殊的硬件(例如FPGA)或需要主机处理能力来进行完整的计算。;本研究的目的是:;•设计一种在线频率响应测量算法,该算法可以•以周期高效的方式运行,而无需任何主机计算需求,并且可以轻松地嵌入到用于控制功率级的商用微控制器中;•突出说明在线FRA可以工作的约束和假设以及在线FRA的限制•开发并演示设计的在线FRA在DC-DC,AC-DC和DC-AC转换器上的使用,证明并强调了所开发技术在快速控制设计中的广泛适用性。 ;•将开发的在线FRA用于监视和诊断应用,展示了通过功率转换器的数字控制扩展功能的适用性。

著录项

  • 作者

    Bhardwaj, Manish.;

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Electrical engineering.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 134 p.
  • 总页数 134
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 康复医学;
  • 关键词

  • 入库时间 2022-08-17 11:53:08

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