| dc.contributor.advisor | Bhadra, Prof. S. N. | |
| dc.contributor.author | Ghosh, Dr. Bashudeb Chandra | |
| dc.date.accessioned | 2018-09-02T09:18:24Z | |
| dc.date.available | 2018-09-02T09:18:24Z | |
| dc.date.copyright | 1992 | |
| dc.date.issued | 1992-07 | |
| dc.identifier.other | ID 0000000 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12228/448 | |
| dc.description | This thesis is submitted to the Department of Electrical Engineering, Indian Institute of Technology in partial fulfillment of the requirements for the degree of Doctor of Philosophy, July 1992. | en_US |
| dc.description | Cataloged from PDF Version of Thesis. | |
| dc.description | Includes bibliographical references (pages 281-295). | |
| dc.description.abstract | The main subject matter of this dissertation is to develop parameter adaptive rotor flux oriented current fed induction motor drive systems for controlled speed operation. The parameter adaptive approaches do not require special test signals and softwares in a big way. Three easy-to-implement schemes are suggested. One scheme is based on airgap power estimation method and takes into account of the non-linear magnetic state while tracking the actual rotor resistance. The other two methods constitute model reference adaptive controllers. They are based on the inverter input voltage and torque producing component of the stator current. The effectiveness of these methods is examined by extensive simulation and experimentation with two laboratory type induction machines. The experimental set up makes use of two microcomputers (i-8006 with i-6007) and a PC/AT with Burr Brown's PCI system having multi-channel 12 bit data acquisition modules for implementing the control algorithms. Prior to the description of parameter corrective algorithms, a control system suitable for a CSI-fed induction motor under rotor flux orientation is designed and tested by suitable simulation model. Then the influence of rotor resistance variation in the presence of magnetizing flux saturation has been extensively investigated. A two-parameter saturation model (two-term quintic non-linearity) is used in all these studies. It is further shown how the machine performances under field oriented condition are affected inclusion of saturation characteristics. Analytic expressions as well as digital simulation procedures are presented to study the performance of the drive system. Robustness of the drive system has been studied applying the concept of Kharitonov's theorem and then justified from the simulation results of the system for both parametric and torque disturbances. 'Bond Graph' and 'Nodal method' provide an organised way to write equations for a dynamic system. Tedious way of writing equations and their arrangement and re-arrangement for framing state equations can be avoided in the proposed simulation techniques. Simulation studies based on systematic modelling and framing of the system equations using the above two methods for the operation of a speed controlled CSI-IM system under normal and abnormal conditions have also been provided. | en_US |
| dc.description.statementofresponsibility | Dr. Bashudeb Chandra Ghosh | |
| dc.format.extent | 295 pages | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Indian Institute of Technology (IIT), Kharagpur, India. | en_US |
| dc.rights | Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Induction Machine | en_US |
| dc.subject | CSI-fed | en_US |
| dc.subject | Saturation | en_US |
| dc.subject | Robustness | en_US |
| dc.subject | Corrector Currents | en_US |
| dc.subject | PCI System | en_US |
| dc.title | Parameter Adaptive Vector Controller for CSI-fed Induction Motor Drive and Generalized Approaches for Simulation of CSI-IM System | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | Doctor of Philosophy | |
| dc.contributor.department | Department of Electrical Engineering |