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        <identifier>oai:www.ideals.illinois.edu:2142/81059</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Krein, Philip T.</dc:contributor>
          <dc:creator>Kimball, Jonathan W.</dc:creator>
          <dc:date>2015-09-25T20:09:26Z</dc:date>
          <dc:date>2015-09-25T20:09:26Z</dc:date>
          <dc:date>10000-01-01</dc:date>
          <dc:date>2007</dc:date>
          <dc:date>2007</dc:date>
          <dc:description>Digital control methods for switching power converters offer greater robustness, more flexibility to changing operating characteristics, and better system performance than conventional techniques, which are often model-limited and only work well in a small range of conditions. Digital controllers are broadly classified into five generations, from 0 through 4. Generation 4 methods, such as the three techniques proposed in the present work, use new system formulations to achieve advanced control objectives. The first proposed technique is a singular perturbation analysis that provides a theoretical foundation for time-scale separation. If a buck, boost, buck-boost, or flyback converter meets a simple requirement, then inductor current operates on a fast time scale while the capacitor voltage changes on a slow time scale. This separation enables other control techniques. The second new technique employs a Kalman filter to create a sensorless power factor correction (PFC) controller. The proposed method uses voltage measurements in a switching power converter to eliminate the need for current sensing. An experimental converter that meets regulatory requirements validates the system. Finally, an online optimization method, discrete-time ripple correlation control (DRCC), is shown to automatically operate a switching power converter at an optimal point, such as maximum power from a source. DRCC is derived, stability is proven, and an application to a photovoltaic system is demonstrated experimentally. These three techniques together form a toolbox for future control applications.</dc:description>
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  Previous issue date: 2007</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 82341
Lift date: Forever
Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs</dc:description>
          <dc:description>Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs</dc:description>
          <dc:description>U of I Only</dc:description>
          <dc:description>158 p.</dc:description>
          <dc:description>Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.</dc:description>
          <dc:identifier>http://hdl.handle.net/2142/81059</dc:identifier>
          <dc:identifier>(MiAaPQ)AAI3301169</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:subject>Engineering, Electronics and Electrical</dc:subject>
          <dc:title>Digital Control Techniques for Switching Power Converters</dc:title>
          <dc:type>text</dc:type>
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            <department>Electrical and Computer Engineering</department>
            <discipline>Electrical and Computer Engineering</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
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