dc.contributor.author |
Kaletsanos, Ath |
en |
dc.contributor.author |
Xepapas, F |
en |
dc.contributor.author |
Manias, SN |
en |
dc.date.accessioned |
2014-03-01T02:42:25Z |
|
dc.date.available |
2014-03-01T02:42:25Z |
|
dc.date.issued |
2004 |
en |
dc.identifier.issn |
01972618 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/30995 |
|
dc.subject |
Control Method |
en |
dc.subject |
Fuzzy Logic |
en |
dc.subject |
Induction Motor |
en |
dc.subject |
Induction Motor Drive |
en |
dc.subject |
Intelligent Control |
en |
dc.subject |
Power Converter |
en |
dc.subject |
Sliding Mode |
en |
dc.subject |
Voltage Source Inverter |
en |
dc.subject.other |
Electromechanical torque |
en |
dc.subject.other |
Induction motor drives |
en |
dc.subject.other |
Rotor flux linkage |
en |
dc.subject.other |
Variable structure control system (VSS) |
en |
dc.subject.other |
Computer simulation |
en |
dc.subject.other |
Electric drives |
en |
dc.subject.other |
Electric loads |
en |
dc.subject.other |
Electric variables control |
en |
dc.subject.other |
Error analysis |
en |
dc.subject.other |
Fluxes |
en |
dc.subject.other |
Fuzzy sets |
en |
dc.subject.other |
Intelligent control |
en |
dc.subject.other |
Nonlinear control systems |
en |
dc.subject.other |
Rotors |
en |
dc.subject.other |
Torque control |
en |
dc.subject.other |
Vectors |
en |
dc.subject.other |
Induction motors |
en |
dc.title |
A novel nonlinear and intelligent control technique for induction motor drive systems |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/IAS.2004.1348586 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/IAS.2004.1348586 |
en |
heal.publicationDate |
2004 |
en |
heal.abstract |
This paper presents a novel control method for Induction motor drive systems. A Voltage Source Inverter (VSI) is used as the power converter that feeds the machine. The variables, mechanical rotational speed, electro-mechanical torque and rotor flux linkage are directly controlled. The control principle is based on a sliding mode nonlinear technique combined with fuzzy logic methodology. The proposed controllers for direct torque and rotor flux control construct an intelligent and robust drive system. The performance of the Induction Motor (IM) drive system was tested and simulation and experimental results are presented. |
en |
heal.journalName |
Conference Record - IAS Annual Meeting (IEEE Industry Applications Society) |
en |
dc.identifier.doi |
10.1109/IAS.2004.1348586 |
en |
dc.identifier.volume |
2 |
en |
dc.identifier.spage |
1335 |
en |
dc.identifier.epage |
1341 |
en |