A software for analysis and design optimization of switched reluctance motor

Download

index.pdf

Date

2004

Author

Yalçıner, Levent Burak

Metadata

Show full item record

Item Usage Stats

122
views

157
downloads

In this study, development of software, which can analyze and optimize an SRM by accurately calculating its performance, is aimed. Existing methods in the literature are investigated. Some studies for the calculation of performance use 2D field solutions and are known to be accurate; however, using field solutions is not feasible for the optimization purpose. So, a method based on a set of normalized permeance and force data are chosen for prediction of magnetizing characteristics. Selected methods are programmed into the software with a user friendly interface. The results from the software are compared with test results from an existing motor. It is found that the accuracy of the predictions is not acceptable if the effect of end winding leakage flux is not accounted for. An approach is proposed for accounting the end winding leakage. The software is modified accordingly. In this case, the results obtained are found to have good accuracy, compared with measurements. The SR motor design optimization problem is treated as a constrained wieght optimization problem. This problem is converted to an unconstrained optimization problem, by using the Augmented Lagrangian method. To decrease the computation time of some of the performance calculation algorithms, some modifications are made. These are described in the related sections. The derivatives for the optimization process are numerically calculated. The accuracy of the performance calculation is once again verified against test results at this stage. The optimization software is then used to optimize the design of an SR motor for a washing machine application. The results obtained are discussed.

Subject Keywords

Dynamoelectric Machinery.

URI

http://etd.lib.metu.edu.tr/upload/2/12605060/index.pdf
https://hdl.handle.net/11511/14157

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Design software development for induction motors İzgüden, Mustafa; Ertan, Hulusi Bülent; Department of Electrical and Electronics Engineering (2011) The purpose of this thesis has been to convert two softwares called TPCAD (Three Phase Induction Machine Computer Aided Desing) and SPCAD (Single Phase Induction Machine Computer Aided Design) developed earlier for the design and analysis of three and single phase induction machines to meet the needs of motor manufacturing industry so that they can be run in windows environment. Furthermore, it was aimed to include features such as double cage motor analysis and design, to provide a facility designed motor ...
Optimization of backhoe-loader mechanisms İpek, Levent; Söylemez, Eres; Department of Mechanical Engineering (2006) This study aims to develop a computer program to optimize the performance of loader mechanisms in backhoe-loaders. The complexity and the constraints imposed on the loader mechanism does not permit the use of classical optimization techniques used in the synthesis of mechanisms. Genetic algorithm is used to determine the values of the design parameters of the mechanism while satisfying the constraints and trying to maximize breakout forces that the machine can generate.
A multitone model of complex enveloped signals and its application in feedforward circuit analysis Coskun, AH; Mutlu, Ayşe Ceyda; Demir, S (Institute of Electrical and Electronics Engineers (IEEE), 2005-06-01) Analytical tools that characterize nonlinear systems are essential and need to be developed for initial rapid optimizations and understanding of the system performance. Modeling of the input signal is a crucial part of this task. In this paper, a multitone representation for an arbitrary double-side banded (symmetric spectrum around carrier frequency) stochastically not well-defined signal and its application to a feedforward circuit, which involve two nonlinear amplifiers, couplers, phase, and delay units ...
A practical analysis of sample complexity for structure learning of discrete dynamic Bayesian networks Geduk, Salih; Ulusoy, İlkay (2021-02-01) Discrete Dynamic Bayesian Network (dDBN) is used in many challenging causal modelling applications, such as human brain connectivity, due to its multivariate, non-deterministic, and nonlinear capability. Since there is not a ground truth for brain connectivity, the resulting model cannot be evaluated quantitatively. However, we should at least make sure that the best structure results for the used modelling approach and the data. Later, this result can be appreciated by further correlated literature of anat...
A statistical approach for performance evaluation of 386 and 486 microprocessors Akman, I (1996-02-01) This paper endeavors to show how multivariate statistical techniques may be used to assess the hardware performance of 386 and 486 based microcomputers. The benchmark test results collected from 34 microcomputers were analyzed in order to find the objective ''assessment criterion'' which could be used as part of the future certification process. The dominant hardware components for the price of these computers were also searched.

Citation Formats

L. B. Yalçıner, “A software for analysis and design optimization of switched reluctance motor,” M.S. - Master of Science, Middle East Technical University, 2004.