Applied Fuzzy Logic Controls for Improving Dynamic Response of Induction Machines

Digital.Maag

Applied Fuzzy Logic Controls for Improving Dynamic Response of Induction Machines

Show simple item record

dc.contributor.author Syed, Altaf Ahmad en_US
dc.date.accessioned 2013-12-16T18:27:27Z
dc.date.available 2013-12-16T18:27:27Z
dc.date.issued 2008
dc.identifier.other b20346682 en_US
dc.identifier.uri http://hdl.handle.net/1989/10784
dc.description xi, 109 leaves : ill. ; 29 cm. en_US
dc.description.abstract This thesis presents a novel approach in control systems for improving the dynamic response of the induction machine. This approach leads to a better and improved control of the torque and current response of the induction machine when compared to the classical proportional-integral (PI) type controller with de-coupling terms. Mismatches in the actual parameters and the estimated parameters of the induction machine occur for several reasons such as: incorrect parameter estimation, changes in stator and rotor inductance due to saturation, stator and rotor resistance varying with temperature, etc. Under the classical approach, the de-coupling errors resulting from the parameter mismatches can become very large at higher machine rotational speeds. Under such conditions, the classical approach results in poor dynamic control of the torque and current response of the induction machine. Therefore, an advanced fuzzy logic controller is presented as a better alternative to the classical controller. The fuzzy logic-based d-q controller, based on its non-linear approach, provides robust control of the torque and current response of the induction machine even in the presence of mismatched parameters. Furthermore, the performance of the fuzzy logic controller is not dependent on the machine rotational speed. Using MATLABSIMULINK tools, the performance of the fuzzy controller is evaluated with mismatched machine parameters at various machine rotational speeds. The results show that the use of the fuzzy logic controller offers a superior control of the torque and current response of the induction machine, independent of the motor rotational speed when compared with the use of the classical controller. en_US
dc.description.statementofresponsibility by Altaf Ahmad Syed. en_US
dc.language.iso en_US en_US
dc.relation.ispartofseries Master's Theses no. 1007 en_US
dc.subject.lcsh Electric machinery, Induction. en_US
dc.subject.lcsh Squirrel cage motors. en_US
dc.subject.lcsh Fuzzy logic. en_US
dc.title Applied Fuzzy Logic Controls for Improving Dynamic Response of Induction Machines en_US
dc.type Thesis en_US
dc.identifier.oclc 268960542 en_US

Files in this item

File Name Size Format View
b20346682.pdf 1.388Mb PDF View/Open

This item appears in the following Collection(s)

Show simple item record