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  <front>
    <journal-meta>
      <journal-title-group><journal-title>SET Proceedings</journal-title></journal-title-group>
      <issn pub-type="epub">2978-4387</issn>
      <publisher><publisher-name>Caravel Press</publisher-name></publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.65582/set.2005.029</article-id>
      <article-id pub-id-type="publisher-id">2005.029</article-id>
      <title-group><article-title>Fuzzy Control Used in VAV System</article-title></title-group>
    <contrib-group>
      <contrib contrib-type="author">
        <name><surname>Cai</surname><given-names>Bo</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Li</surname><given-names>Deying</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Liu</surname><given-names>Weifu</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <aff id="aff1">Beijing Institute of Civil Engineering and Architecture, Beijing, China</aff>
    </contrib-group>
      <pub-date publication-format="electronic" date-type="pub"><day>23</day><month>09</month><year>2005</year></pub-date>
      <volume>4</volume>
      <issue>1</issue>
      <isbn publication-format="electronic">978-7-112-07718-2</isbn>
      <fpage>134</fpage>
      <lpage>137</lpage>
      <self-uri xlink:href="https://caravelpress.com/proceedings/set/papers/2005.029"/>
      <history>
        <date date-type="received"><string-date>23 September 2005</string-date></date>
      </history>
      <permissions>
        <copyright-statement>© 2005 Copyright WSSET</copyright-statement>
        <copyright-year>2005</copyright-year>
      </permissions>
      <abstract><p>Normal PID controller can’t online adjust parameters, when object exists structure nonlinearity, parameter time-variation or model indeterminacy, it is more difficult in adjusting parameters, and optimal parameters are inclined to drift. This article uses VAV rooms as research objects, adopting fuzzy control and PID control to compose fuzzy self-adjustment PID controller, and makes use of parameters of PID controller with fuzzy controller online adjusting to process large numbers of emulate research, and further using in fact control.</p></abstract>
      <kwd-group kwd-group-type="author">
        <kwd>fuzzy control</kwd>
        <kwd>fuzzy self-adjustment PID</kwd>
        <kwd>simulating imitation</kwd>
      </kwd-group>
      <conference>
        <conf-date>23 to 25 September 2005</conf-date>
        <conf-name>4th International Conference on Sustainable Energy Technologies</conf-name>
        <conf-acronym>SET2005</conf-acronym>
        <conf-num>4</conf-num>
        <conf-loc>Jinan, China</conf-loc>
      </conference>
    </article-meta>
  </front>
  <body>
  </body>
  <back>
    <ref-list>
      <ref id="ref-r1">
        <mixed-citation publication-type="journal">Li Ping, Li Feng, Zhao Hu, Ju Zipei. 2002. The Design and Simulation of Fuzzy Self-adjustment PID Controller. Journal of Apparatus and Instrument.</mixed-citation>
      </ref>
      <ref id="ref-r2">
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      <ref id="ref-r3">
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      </ref>
      <ref id="ref-r4">
        <mixed-citation publication-type="journal">Wu Aiguo, Gao Deyun. 1999. Intelligent Control in VAV Systems. Journal of Refrigeration.</mixed-citation>
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      <ref id="ref-r5">
        <mixed-citation publication-type="journal">LI HUI, Duang Chenxu. 2005. Performance Analysis of Vav Terminals. Journal of Shandong University of Architecture and Engineering.</mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
