| Summary: | 碩士 === 國立中正大學 === 電機工程學系 === 84 === This thesis proposes a novel method using artificial
intelligence and indirectvector-control techniques for position
control of induction motor.The fuzzy phase-plane theory is
employed for the design of the controllers.Five controllers are
proposed, which are able to achieve good performance
underchanges of operating conditions of wide range. The proposed
controllers applythe method of genetic algorithms of
evolutionary direction operator of improvementtype to
requirement of exerting multifarious experiences of expert and
proceduresof defuzziness, the controllers can attain more quick
response than that of theconventonal fuzzy controllers. What is
more, since the output signal of thecontrolls is operated by
continues nonlinear function, it is in favor of thedesign of
optimal control and the analysis of stability.The control
technique using artificial intelligence and indirect vector-
controlwere successfully explored and simulated. Simulation
results show that theapproach is computationally efficient and
has exceedingly good control performance.Furthermore, because of
employing the fuzzy phase-plane technique, no transferfunction
development is required for the implementation of the method.
Thusethe proposed controllers have the advantages of easiness
and flexibility fordesign.
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