Switched reluctance motor has features like robust structure, low cost, and wide speed extension range over conventional induction and synchronous motors. These features make it a promising choice for many applications from electric vehicle to aerospace industry. However, due to its silent structure, the characteristics of switched reluctance motor are highly nonlinear. The nonlinearity makes it difficult to control and results in degraded performance such as high torque ripple and acoustic noise compared with conventional induction machine or synchronous machine. New power converters and control methods have to be developed to improve its performance. In order to reduce the current ripple and torque ripple, a novel three-level converter for switched reluctance motor is proposed. The operation modes and modulation method are presented in detail. Simulation and experimental results show that compared to conventional two-level converter, the proposed three-level converter is able to reduce current ripple, torque ripple and acoustic noise significantly without increasing cost. A fast and accurate current controller is essential for the torque control of switched reluctance motor. An adaptive current controller for the three-level converter is developed to avoid the performance degradation caused by manufacture inconsistency. This controller has the ability to adjust its parameters according to the specific motor it drives. Fast dynamic and high accuracy could be achieved through parameter adaption. In order to reduce the cost, and compete with the well-developed sensorless brushless DC and induction motor drive system, a new position sensorless control method for switched reluctance motor is proposed. This method is effective under both low speed operation and high speed operation. It can start with heavy load. It does not have to align the machine before start up as what is needed for many sensorless brushless DC drive systems. The proposed converter and control methods are all verified by simulation and experimental results. / Thesis / Doctor of Philosophy (PhD)

[pt] Os motores de indução são as máquinas mais utilizadas nos acionamentos industriais elétricas devido a sua simplicidade, robustez, maior relação torque/corrente, baixa manutenção, etc. Sua aceitação e aplicação em acionamentos com velocidade variável têm sido possível com o desenvolvimento da eletrônica de potência. Atualmente, muitos acionamentos utilizam diversas técnicas para lograr o controle de velocidade por variação da freqüência da rede de alimentação, sendo que o controle vetorial é o mais comum. O presente trabalho, centra-se no estudo do desenvolvimento do motor de indução sob a aplicação do controle de velocidade, através da análise dos parâmetros necessários para realizar o dito controle na faixa de baixa velocidade, sem sensor de velocidade e/ou de posição. O trabalho inicia-se com o estudo das principais características funcionamento do motor de indução. Em seguida, a partir do modelo matemático do motor de indução, são analisados os diferentes tipos de controle de velocidade, com especial ênfase na variação da velocidade através da variação da freqüência. Finalmente, são estudados os parâmetros e métodos para o controle de velocidade sem sensor. O estudo é validado com diversas simulações realizadas no programa MatLab. / [en] The induction motors are the most commonly used eletric motors in the electrical industrial systems due its simplicity, robustness, greater torque/current ratio, low maintenance, etc. its acceptance and applications in operations with variable speed has been possible with the power electronics development. Currently, most of operations use several techniques to achieve the speed control by variable frequency of the power supply with vectorial control being the most common. The present work is centered in the study and development of the induction drive in speed control application, with the analysis of the necessary parameters to control in low speed band, without speed and/or position sensor. The work starts with the study of main functioning characteristic of the motor. After that, from the mathematical model of the induction motor, different speed control techniques are analyzed, with special emphasis in speed variation with variable frequency. Finally, the parameters and methods for sensor less control are studied. The study is variation with several simulations made Matlab program.

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This thesis focuses on utilizing the persistent voltage vector injections by finite control set model predictive control (FCSMPC) to enable simultaneous estimations of both position and parameters in order to realize robust sensorless interior permanent magnet synchronous machine (IPMSM) drives valid at the entire operating region including no-load standstill without any additional signal injection and switchover. The system (here, IPMSM) needs to meet certain observability conditions to identify the parameters and position. Moreover, each combination of the parameters and/or position involves different observability requirements which cannot be accomplished at every operating point. In particular, meeting the observability for parameters and position at no-load standstill is more challenging. This is overcome by generating persistent excitation in the system with high-frequency signal injection. The FCSMPC scheme inherently features the persistent excitation with voltage vector injection and hence no additional signal injection is required. Moreover, the persistent excitation always exists for FCSMPC except at the standstill where the control applies the null vectors when the reference currents are zero. However, introducing a small negative d axis current at the standstill would be sufficient to overcome this situation.The parameter estimations are investigated at first in this thesis. The observability is analyzed for the combinations of two, three and four parameters and experimentally validated by online identification based on recursive least square (RLS) based adaptive observer. The worst case operating points concerning observability are identified and experimentally proved that the online identification of all the parameter combinations could be accomplished with persistent excitation by FCMPC. Moreover, the effect of estimation error in one parameter on the other known as parameter coupling is reduced with the proposed decoupling technique. The persistent voltage vector injections by FCSMPC help to meet the observability conditions for estimating the position, especially at low speeds. However, the arbitrary nature of the switching ripples and absence of PWM modulator void the possibility of applying the standard demodulation based techniques for FCSMPC. Consequently, a nonlinear optimization based observer is proposed to estimate both the position and speed, and experimentally validated from standstill to maximum speed. Furthermore, a compensator is also proposed that prevents converging to saddle and symmetrical ( ambiguity) solutions. The robustness analysis of the proposed nonlinear optimization based observer shows that estimating the position without co-estimating the speed is more robust and the main influencing parameters on the accuracy of the position estimation are d and q inductances. Subsequently, the proposed nonlinear optimization based observer is extended to simultaneously estimate the position, d and q inductances. The experimental results show the substantial improvements in response time, and reduction in both steady and transient state position errors. In summary, this thesis presents the significance of persistent voltage vector injections in estimating both parameter and position, and also shows that nonlinear optimization based technique is an ideal candidate for robust sensorless FCSMPC. / Thesis / Doctor of Philosophy (PhD)

Active research of SMAs has shown that its Seebeck coefficient is sensitive to its martensitic phase transformation and has the potential to determine the SMAs state of transformation. The combination of Shape Memory Alloys, which have a positive Seebeck coefficient, and Constantan which has a negative Seebeck coefficient (-35 mV/K) results in a thermocouple capable of measuring temperature. The work presented in this thesis is based on the development and design of this sensor. This sensor is used to study the hysteretic behaviour of SMAs. Although Shape Memory Alloys (SMAs) exhibit a myriad of nonlinearities, SMAs show two major types of nonlinear hysteresis. During cyclic loading of the SMAs, it is observed that one type of hysteretic behavior depends on the rate of heating the SMAs, whilst the variation of maximum temperature of an SMA in each cycle results in the other hysteretic behavior. This later hysteretic behavior gives rise to major and minor nonlinear loops of SMAs. The present work analyzes the nonlinearities of hysteretic envelopes which gives the different maximum temperatures reached for each hysteretic cycle with respect to stress and strain of the SMA. This work then models this behavior using Adaptive Neuro Fuzzy Inference System (ANFIS) and compares it to experimental results. The nonlinear learning and adaptation of ANFIS architecture makes it suitable to model the temperature path hysteresis of SMAs. / Master of Science

The structure of a permanent magnet generator (PMG) connected with an active front-end rectifier is very popular in the AC-DC architecture. Especially for certain applications like aircraft and vehicles, power density and efficiency is critical. Since the generator and the rectifier can be controlled simultaneously, it would be very desirable to develop a unified control. With this unified control, the boost inductors between the PMG and rectifier is eliminated, which significantly reduce the volume and the weight of the whole system and improve the system power density. Also the system efficiency can be improved with appropriate control strategy. In this thesis, a unified control for the permanent magnet generator and rectifier system is presented. Firstly, the unified model of the PMG and rectifier system is given as the basis to design the control system. Secondly, a unified control method for PMG and rectifier system is introduced. The design procedure for each control loops are presented in detail, including current control loop, voltage control loop, reactive control loop and speed and rotor position estimator loop. Thirdly, the hardware is developed and the experiment is conducted to verify the control strategy. Fourthly, a method to optimize the overall system efficiency by appropriate reactive power distribution is proposed. The two cases when the DC link voltage is flexible and the DC link voltage is fixed are considered. / Master of Science

Fuel cells have the potential to provide clean power for a variety of uses including stand-alone residential power. But to increase the acceptance of fuel cells for off-grid generation, the cost of the energy management system must be greatly reduced. Of the many ways to accomplish this, this paper looks at reducing cost through topology changes and elimination of current sensors. A dual 2.5kW non-isolated bidirectional boost converter is designed and analyzed. The various bidirectional boost topologies are compared on cost and ability to meet the specifications. A sensorless average current mode is designed, implemented and verified through testing in a low-cost fixed-point DSP. Both boost and buck modes are accurately modeled and voltage and current controllers are designed for good closed-loop response. The accuracy of the sensorless average current measurement is investigated in both modes of operation. A classical dual-loop controller is implemented in boost mode with the sensorless average current and in buck mode, a dual controller operating in either current or voltage mode is implemented. The design is verified through testing in boost and buck mode and it is shown that the results are acceptable. / Master of Science

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / This Thesis proposes sensorless vector control schemes that combine designed observers in the discrete-time domain to estimate the rotor position and speed for a permanent magnet synchronous generator of non-salient poles. Two control schemes are proposed. The first scheme is based on a discrete sliding mode current observer in series with an adaptive electromotive force observer. Then, the sliding conditions that assure the sliding motion around the sliding surface are derived to ensure the stability of the current observer as well as an innovative design procedure is proposed for it. Moreover, the electromotive force observer is designed using Lyapunov s Discrete Direct Method, which provides the estimated rotor position and speed. The second scheme extends the developed methodology for the former, considering the parametric uncertainties and eliminating the high frequency components of chattering. The second scheme uses a discrete sliding mode current observer as in the first scheme. However, the electromotive force observer is replaced by a phase-locked loop in series with a discrete sliding mode robust differentiator, which follows the proposed methodology for the discrete sliding mode current observer. Experimental results validate the theoretical analysis and demonstrate the performance of the proposed control schemes considering a small scale wind energy conversion system. In addition, proposed schemes are compared with others of the literature. It should be noticed that the whole approach is carried out in discrete time domain making it suitable for a microcontroller or digital signal processor implementation. / Esta Tese propõe esquemas de controle vetorial sem sensores mecânicos de posição e de velocidade que combinam observadores projetados no domínio de tempo discreto para estimar essas variáveis para um gerador síncrono a ímãs permanentes de polos não salientes. Dois esquemas de controle são propostos. O primeiro esquema baseiase em um observador de corrente por modos deslizantes discretos em série com um observador adaptativo de força eletromotriz. Então, as condições de deslizamento que asseguram os modos deslizantes em torno da superfície de deslizamento são estabelecidas no domínio de tempo discreto para garantir a estabilidade do observador de corrente e um inovador procedimento de projeto para ele é proposto. Em seguida, o observador de força eletromotriz é projetado usando o método direto de Lyapunov discreto, que fornece a posição e a velocidade rotóricas estimadas. O segundo esquema estende a metodologia desenvolvida para o primeiro, considerando as incertezas paramétricas bem como eliminando as componentes de alta frequência de chattering. O segundo esquema usa um observador de corrente por modos deslizantes discretos como o primeiro. Entretanto, o observador de força eletromotriz é substituído por um retentor de fase em série com um diferenciador robusto por modos deslizantes discretos, que segue a metodologia proposta para o observador de corrente. Resultados experimentais validam a análise teórica desenvolvida e demonstram o desempenho dos esquemas de controle propostos considerando um sistema de conversão de energia eólica de pequeno porte. Além disso, os esquemas propostos são comparados com outros da literatura. Ressalta-se que a toda abordagem é desenvolvida no domínio de tempo discreto tornando-a apta para uma implementação em microcontroladores e em processadores digitais de sinais.

The thesis is focused on the issue of sensorless vector control of a synchronous motor with permanent magnets in the low-speed range. In the first part, there is a brief description of the synchronous motor and the necessary transformations for the application of vector control. This is followed by the overview of sensorless methods for position estimation by injecting a high-frequency harmonic signal. The practical part is devoted to the implementation of a control algorithm to develop kit STM32NUCLEO-L476RG, which is preceded by the identification of all engine parameters. As part of the implementation, a structure including current, speed and position control was designed. The functionality and robustness of the settings have been successfully tested due to the different inertia and load.