Thesis (M.E.) -- University of Adelaide, Department of Electrical Engineering, 1978. / Typescript (photocopy).

Thesis (M.S.)--Youngstown State University, 2008. / Includes bibliographical references (leaves 107-109). Also available via the World Wide Web in PDF format.

Thesis (M. Eng.)--Memorial University of Newfoundland, 1997. / Bibliography: leaves 155-163.

Thesis (Ph. D.)--Missouri University of Science and Technology, 2009. / Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed May 27, 2009) Includes bibliographical references (p. 126-130).

Advances in electrical machinery with high efficiencies could significantly reduce the cost of industrial and residential energy systems, thereby reducing fossil fuel needs and emissions. Electrical machine design is a comprehensive process based on several factors, including economic factors, material limitations, specifications and special application-dependent factors. At the same time, machine design is a multi-physics task comprising of electric design, magnetic design, insulation design, thermal design and mechanical design. However, the out-of-date conventional machine design can neither reflect the advances in the past 30 years, nor exploit the trade-offs between design factors from the multi-physics nature of the electrical machine. This work focus on the development a fast and efficient method for the design and optimization of Surface Mount Permanent Magnet (SMPM) machines and induction machines, as influenced by the energy source, mechanical loads, thermal effects, and the up-to-date developments in materials and manufacturing capabilities. A new analytical design method is developed for the electromagnetic design of SMPM machines. Both distributed and concentrated winding types of SMPM machines are considered and compared. Based on the proposed electromagnetic analytical design method and a generic thermo-mechanical machine design model [1], an innovative and computationally efficient electromagnetic-thermo-mechanical integrated design method is developed for SMPM machines. Particle Swarm Optimization (PSO) is applied in a novel way based on this integrated design method for the multi-objective design optimization of SMPM machines. With the proposed method, the thermal and mechanical design is no longer treated separately and heuristically as in the traditional design, but has been systemically integrated with the electromagnetic design; the effect of power source, cooling capability, thermal limits, and up-to-date material capabilities are also reflected in the design and optimization. Superior designs compared to traditional designs can be achieved with PSO based multi-objective optimization. The proposed integrated design approach also has the merit of good computational efficiency and provides a significant time reduction of the design cycle compared to finite element analysis. A novel electromagnetic analytical design method of induction machines has been developed, which needs only six prime design variables but is able to design induction machines in fine details. The advantage over the traditional and other existing design method is that this proposed method does not have the heuristic selection of the design variables and does not need manual design iterations. The computing time is almost negligible and the design cycle is significantly reduced compared to the tradition machine design.

M. Tech. Electrical Engineering. / Discusses the placement of windings in the slots of high phase order induction machines (HPOIMs) leads to a stepped-like waveform of stator (rotor) MMFs which exhibit space harmonics as well as the fundamental wave. The interaction of air-gap field components, which have the same pole number but rotate at different speeds, produce the torque ripple whose magnitude depends on the product of the magnitude of the two interacting fields. The frequency of the torque ripples also depends on the difference between the speeds of these two fields. A winding configuration or a combination of different configurations that reduces some air-gap components has the edge in terms of mitigating the ripple torque contents.

Wind energy is a relatively young but rapidly expanding industry. In order for wind generation to be cost effective, it must produce energy at a minimum cost per dollar of investment. Performance characteristics such as power output versus wind speed must be optimized in order to compete with other energy sources. Also, if the utility uses wind power for a part of its generation, the output power of these turbines must have the same high quality and reliability when it enters the utility grid. The ability to vary operating speed is important in wind generation because it allows for an optimization of the transfer of power from the wind to the turbine shaft. Doubly-fed induction generators (DFIG) are an interesting solution for variable-speed systems with limited variable speed range, and are typically used in wind energy conversion systems. / The objectives of this thesis are to implement a decoupled P-Q control of a DFIG that does not rely on mechanical sensors and to design a speed and position sensorless algorithm that is robust to variations of the values of the machine parameters. The sensorless DFIG control algorithm presented in this thesis is based on a modified phasedlock loop with an improved positioning algorithm. With the measured stator voltages, stator and rotor currents, the speed and position of the DFIG are estimated. The speed is estimated independent of machine parameters, which results in a significant improvement in speed control robustness to parameter variations. In addition, the algorithm avoids using differentiation, which significantly improves its immunity to noise and does not require the measurement of the rotor voltages. Also, it is shown that the positioning algorithm has an improved operation in generator mode. Although the accuracy of the positioning algorithm is depended on machine parameters; it is shown with the designed controller that the P-Q decoupled control is robust to changes of machine parameters. Theoretical and simulation results are validated on an experimental setup.

Thesis (Ph. D.)--Ohio State University, 2005. / Title from first page of PDF file. Includes bibliographical references (p. 120-126).

CAPES / O objetivo deste trabalho é a implementação em simulação e experimental de um sistema eólico, desde a modelagem da turbina até a extração de potência para a rede baseado no conversor eletrônico back-to-back. É utilizado no sistema um gerador de indução com rotor em gaiola frente suas vantagens econômicas e facilidade de compra. O trabalho apresenta a estratégia de controle vetorial tanto do conversor do lado do gerador quanto do lado da rede. Este trabalho apresenta o desenvolvimento do controle vetorial do gerador que utiliza apenas dois sensores de corrente e conta com uma estratégia de estimação de tensão nos terminais da máquina, estimação de fluxo no rotor e ainda estimação de velocidade, reduzindo o número de sensores para tal controle. Um protótipo foi desenvolvido em bancada para validar tais estratégias, onde os principais resultados são apresentados comprovando a estimação de tensão, a estimação de fluxo e de velocidade e a operação do sistema como gerador. / The objective of this work is the implementation of wind system, from the modelling of wind turbine until the power extraction to the grid, based on back-to-back converter. It is used a squirrel cage induction generator because it has economic advantages and it is easily found commercially. The paper presents all control strategy to the grid converter and the generator converter. This work implements a vector control that use just two current sensors and it has a strategy to estimate the voltage terminals machine, rotor flux and the rotor speed, reducing the number of sensors for this control. A prototype was developed to validate these strategies. The main results are presented to demonstrate the estimations and the system operating as generator.

CAPES / O objetivo deste trabalho é a implementação em simulação e experimental de um sistema eólico, desde a modelagem da turbina até a extração de potência para a rede baseado no conversor eletrônico back-to-back. É utilizado no sistema um gerador de indução com rotor em gaiola frente suas vantagens econômicas e facilidade de compra. O trabalho apresenta a estratégia de controle vetorial tanto do conversor do lado do gerador quanto do lado da rede. Este trabalho apresenta o desenvolvimento do controle vetorial do gerador que utiliza apenas dois sensores de corrente e conta com uma estratégia de estimação de tensão nos terminais da máquina, estimação de fluxo no rotor e ainda estimação de velocidade, reduzindo o número de sensores para tal controle. Um protótipo foi desenvolvido em bancada para validar tais estratégias, onde os principais resultados são apresentados comprovando a estimação de tensão, a estimação de fluxo e de velocidade e a operação do sistema como gerador. / The objective of this work is the implementation of wind system, from the modelling of wind turbine until the power extraction to the grid, based on back-to-back converter. It is used a squirrel cage induction generator because it has economic advantages and it is easily found commercially. The paper presents all control strategy to the grid converter and the generator converter. This work implements a vector control that use just two current sensors and it has a strategy to estimate the voltage terminals machine, rotor flux and the rotor speed, reducing the number of sensors for this control. A prototype was developed to validate these strategies. The main results are presented to demonstrate the estimations and the system operating as generator.