3192

3126

كارشناسي ارشد

﴿ قدرت﴾

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1384

ده، 115، [II]ص: جدول، مصور، نمودار

ص. ع. به فارسي و انگليسي

جعفر سلطاني

جواد عسگري

سعيد حسين نيا، محمد رضا احمدزاده

1396/02/12

كتابنامه

برق و كامپيوتر

مهندسي برق و كامپيوتر

ID3126

به فارسي و انگليسي:قابل رويت در نسخه ديجيتالي

AbstractInduction motor control because of wide range of use has attracted considerable attention Vector control has its own advantages and disadvantages Recently nonlinear controlschemes specially robust and adaptive control methods are used to control induction motordrives In this thesis first speed torque and flux control of an induction motor driveusing some nonlinear control methods such as input output feedback linearization adaptive backstepping and sliding mode control is described Because of sensitivity ofstator and rotor resistances of this motor to thermal variations and skin effect adaptivebackstepping is used to estimate these uncertainties To make control system free ofphysical flux sensors flux observer is a good solution In addition sliding mode controlhas benefits such as insensitivity to uncertainties and fast dynamical response which iscombined with controller structure Although adaptive backstepping can make controlsystem robust to some special parameters but drive control system is not robust against allelectromechanical uncertainties and external load torque disturbance One way toovercome this problem is to use neural networks s estimation ability In addition to omitmechanical speed sensor neural networks help us again Performance and ability of abovecontrol methods are verified and tested by computer simulations Isfahan University of Technology Department of Electrical and Computer Engineering Robust Backstepping Control of Speed Sensorless Induction Motor Drive Using Neural Networks A Thesis Submitted in partial fulfillment of the requirements For the degree of Master of Science By

جعفر سلطاني

جواد عسگري

سعيد حسين نيا، محمد رضا احمدزاده