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Parameter identification and fault d...

Progovac, Dusan V.

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Parameter identification and fault detection for reliable control of permanent magnet motors.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Parameter identification and fault detection for reliable control of permanent magnet motors./
Author:	Progovac, Dusan V.
Description:	132 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-10(E), Section: B.
Contained By:	Dissertation Abstracts International75-10B(E).
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3624832
ISBN:	9781303989728

Parameter identification and fault detection for reliable control of permanent magnet motors.
Progovac, Dusan V.

Parameter identification and fault detection for reliable control of permanent magnet motors. - 132 p.

Source: Dissertation Abstracts International, Volume: 75-10(E), Section: B.

Thesis (Ph.D.)--Wayne State University, 2014.

The objective of this dissertation is to develop new fault detection, identification, estimation and control algorithms that will be used to detect winding stator fault, identify the motor parameters and optimally control machine during faulty condition. Quality or proposed algorithms for Fault detection, parameter identification and control under faulty condition will validated through analytical study (Cramer-Rao bound) and simulation. Simulation will be performed for three most applied control schemes: Proportional-Integral-Derivative (PID), Direct Torque Control (DTC) and Field Oriented Control (FOC) for Permanent Magnet Machines. New detection schemes forfault detection, isolation and machine parameter identification are presented and analyzed. Different control schemes as PID, DTC, FOC for Control of PM machines have different control loops and therefore it is probable that fault detection and isolation will have different sensitivity. It is very probable that one of these control schemes (PID, DTC or FOC) are more convenient for fault detection and isolation which this dissertation will analyze through computer simulation and, if laboratory condition exist, also running a physical models.

ISBN: 9781303989728Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Parameter identification and fault detection for reliable control of permanent magnet motors.
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020 $a 9781303989728
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100 1 $a Progovac, Dusan V. $3 3169016
245 1 0 $a Parameter identification and fault detection for reliable control of permanent magnet motors.
300 $a 132 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-10(E), Section: B.
500 $a Adviser: Le Yi Wang.
502 $a Thesis (Ph.D.)--Wayne State University, 2014.
520 $a The objective of this dissertation is to develop new fault detection, identification, estimation and control algorithms that will be used to detect winding stator fault, identify the motor parameters and optimally control machine during faulty condition. Quality or proposed algorithms for Fault detection, parameter identification and control under faulty condition will validated through analytical study (Cramer-Rao bound) and simulation. Simulation will be performed for three most applied control schemes: Proportional-Integral-Derivative (PID), Direct Torque Control (DTC) and Field Oriented Control (FOC) for Permanent Magnet Machines. New detection schemes forfault detection, isolation and machine parameter identification are presented and analyzed. Different control schemes as PID, DTC, FOC for Control of PM machines have different control loops and therefore it is probable that fault detection and isolation will have different sensitivity. It is very probable that one of these control schemes (PID, DTC or FOC) are more convenient for fault detection and isolation which this dissertation will analyze through computer simulation and, if laboratory condition exist, also running a physical models.
590 $a School code: 0254.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, System Science. $3 1018128
690 $a 0544
690 $a 0790
710 2 $a Wayne State University. $b Electrical Engineering. $3 1057479
773 0 $t Dissertation Abstracts International $g 75-10B(E).
790 $a 0254
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3624832