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  <controlfield tag="001">UP-99796217609532860</controlfield>
  <controlfield tag="003">Buklod</controlfield>
  <controlfield tag="005">20231007234345.0</controlfield>
  <controlfield tag="006">m    |o  d |      </controlfield>
  <controlfield tag="007">ta</controlfield>
  <controlfield tag="008">101109s        xx     d | ||r |||||   ||</controlfield>
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   <subfield code="a">DENGII</subfield>
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  <datafield tag="041" ind1=" " ind2=" ">
   <subfield code="a">eng</subfield>
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  <datafield tag="100" ind1="0" ind2=" ">
   <subfield code="a">Rong-Jong Wai</subfield>
  </datafield>
  <datafield tag="245" ind1="0" ind2="0">
   <subfield code="a">Hybrid control for speed sensorless induction motor drive.</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
   <subfield code="a">pp. 116-138</subfield>
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  <datafield tag="520" ind1=" " ind2=" ">
   <subfield code="a">The dynamic response of a hybrid-controlled speed sensorless induction motor (IM) drive is introduced. First, an adaptive observation system, which comprises speed and flux observers, is derived on the basis of model reference adaptive system (MRAS) theory. The speed observation system is implemented using a digital signal processor (DSP) with a high sampling rate to make it possible to achieve good dynamics. Next, based on the principle of computed torque control, a computed torque controller using the estimated speed signal is developed. Moreover, to relax the requirement of the lumped uncertainty in the design of a computed torque controller, a recurrent fuzzy neural network (RFNN) uncertainty observer is utilized to adapt the lumped uncertainty online. Furthermore, based on Lyapunov stability a hybrid control system, which combines the computed torque controller, the RFNN uncertainty observer and a compensated controller, is proposed to control the rotor speed of the sensorless IM drive. The computed torque controller with RFNN uncertainty observer is the main tracking controller and the compensated controller is designed to compensate the minimum approximation error of the uncertainty observer instead of increasing the rules of the RFNN. Finally, the effectiveness of the proposed observation and control systems is verified by simulated and experimental results</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Lyapunov stability.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Adaptive observation system.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Compensated controller.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Computed torque control.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Dynamic response.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Flux observer.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Hybrid control.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Lumped uncertainty.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Minimum approximation error.</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Model reference adaptive system theory.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Recurrent fuzzy neural network uncertainty observer.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Rotor speed control.</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Speed observer.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Speed sensorless induction motor drive.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Tracking controller.</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
   <subfield code="t">IEEE Transactions on fuzzy systems</subfield>
   <subfield code="g">9, 1 (2001).</subfield>
  </datafield>
  <datafield tag="905" ind1=" " ind2=" ">
   <subfield code="a">FO</subfield>
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  <datafield tag="852" ind1=" " ind2=" ">
   <subfield code="a">UPD</subfield>
   <subfield code="b">DENG-II</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
   <subfield code="a">Article</subfield>
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