Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/11517
Title: PERFORMANCE EVALUATION OF INDIRECT VECTOR CONTROLLED INDUCTION MOTOR DRIVE
Authors: Rao, Y Srinivasa
Keywords: ELECTRICAL ENGINEERING
INDIRECT VECTOR CONTROLLED INDUCTION MOTOR DRIVE
VECTOR CONTROL
INDUCTION MOTOR DRIVE
Issue Date: 2011
Abstract: Vector control is becoming the industrial standard for induction motor control. The vector control technique decouples the two components of stator current space vector, one providing the control of flux and the other providing the control of torque. ' The two components are defined in the synchronously rotating reference frame. With the help of this control technique the induction motor can replace a separately excited dc motor. The DC motor needs time to time maintenance of commutators, brushes and brush holders. The main effort is to replace DC motor by an induction motor and merge the advantages of both the motors together into variable speed brushless motor drive and eliminate the associated problems. The squirrel cage induction motor being simple, rugged, and cheap and requiring less maintenance, has been widely used motor for fixed speed application. So with the implementation of vector control, induction motor replaces the separately excited dc motor. The vector control technique is therefore a better solution so that the control on flux and torque become independent from each other and the induction motor is transformed from a non-linear to linear control plant. With the advent of field oriented control; the induction motor has become an attractive option. The present work involves with indirect vector controlled induction motor drive. The speed PI controller design is presented and the implementation of the speed fuzzy controller with the simulation results of both type of controllers were presented. The speed information is very much required in order to orient the injected stator current. The speed sensors lower the system reliability and there is difficult in mounting these speed sensors, so the present work estimates the speed from voltages and currents. The estimated speed is feed through both PI and fuzzy controllers and the simulation results are presented.
URI: http://hdl.handle.net/123456789/11517
Other Identifiers: M.Tech
Appears in Collections:MASTERS' DISSERTATIONS (Electrical Engg)

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