Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/16159
Title: Investigations on model order reduction and design of speed controller for electric drive systems
Researcher: Ayyar K
Guide(s): Prabha S U
Keywords: Electric drive systems
Speed controller
Upload Date: 24-Feb-2014
University: Anna University
Completed Date: 01/09/2013
Abstract: Speed controller design of electric drive systems gives a challenge to newlinemany researchers due to complexity in drive system. The speed of the electric newlinedrives can be controlled from below and up to rated speed using a converter. newlineThe converter firing circuit receives signal from controller and then the newlineconverter gives variable voltage to the armature (or rotor) of the motor for newlineachieving desired speed. There are two control loops, one for controlling newlinecurrent and another for speed. Conventionally the Proportional Integral type newlinecontroller was used by Symmetric Optimum approximation method. This newlinemethod eliminates the effects due to disturbance very rapidly compared to newlineother optimum techniques such as linear or modulus optimum techniques. newlineApproximation method was used based on the assumption that the time newlineconstants of the systems are equal. The controller used here is Model Order Reduction (MOR) technique newlinewith Genetic Algorithm (GA) based Proportional Integral (PI) type which newlineremoves the delay time and provides fast response. In modeling electric drive newlinesystems, the order of the drive system gives an idea of the measure of newlineaccuracy of the modeling of the system. The higher order system model will newlinebe more accurate in describing the drive system. But in several cases the newlineamount of information contained in a complex model may obfuscate simple, insightful behaviours, which can be better captured and explored by a model newlinewith a much lower order. newlineThus, by approximating a higher order system to a suitable lower order newlinesystem, a much better understanding of the system is reached. Hence, the newlineprocess of model order reduction involves studying the properties of a newlinecomplex dynamic system in application for reducing its complexity, while newlinepreserving (to the maximum possible extent) its input-output behaviour. newlineDepending upon the practical application, certain specific properties of the newlinehigher order complex system have to be preserved in the reduced order newlinemodel. newline
Pagination: xxiv, 197p.
URI: http://hdl.handle.net/10603/16159
Appears in Departments:Faculty of Electrical and Electronics Engineering

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02_certificate.pdf299.39 kBAdobe PDFView/Open
03_abstract.pdf13.1 kBAdobe PDFView/Open
04_acknowledgement.pdf7.01 kBAdobe PDFView/Open
05_contents.pdf51.9 kBAdobe PDFView/Open
06_chapter 1.pdf76.49 kBAdobe PDFView/Open
07_chapter 2.pdf259.14 kBAdobe PDFView/Open
08_chapter 3.pdf238.78 kBAdobe PDFView/Open
09_chapter 4.pdf718.38 kBAdobe PDFView/Open
10_chapter 5.pdf489.16 kBAdobe PDFView/Open
11_chapter 6.pdf643.93 kBAdobe PDFView/Open
12_chapter 7.pdf13.35 kBAdobe PDFView/Open
13_references.pdf51.89 kBAdobe PDFView/Open
14_publications.pdf7.66 kBAdobe PDFView/Open
15_vitae.pdf5.63 kBAdobe PDFView/Open


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