Conversores A/D do tipo aproximações sucessivas (SAR) baseados em redistribuição de carga são frequentemente utilizados em aplicações envolvendo a aquisição de sinais, principalmente as que exigem um baixo consumo de área e energia e boa velocidade de conversão. Esta topologia está presente em diversos dispositivos programáveis comerciais, como também em circuitos integrados de propósito geral. Tais dispositivos, quando expostos a ambientes suscetíveis a radiação, como é o caso de aplicações espaciais, estão sujeitos à colisão com partículas capazes de ionizar o silício. Estes podem causar falhas temporárias, como um efeito transiente, uma inversão de bit em um elemento de memória, ou até mesmo danos permanentes no circuito. Este trabalho visa descrever o comportamento do conversor SAR baseado em redistribuição de carga após a ocorrência de efeitos transientes causados por radiação, por meio de simulação SPICE. Tais efeitos podem causar falhas nos componentes da topologia: chaves, lógica de controle e comparador. Estes são propagados por todo o estágio de conversão, devido à sua característica sequencial de conversão. Por fim, uma discussão sobre as possíveis técnicas de mitigação de falhas para esta topologia é apresentada. / Successive Approximation Register (SAR) Analog to Digital Converters (ADCs) based on charge redistribution are frequently used in data acquisition systems, especially those requiring low power and low area, and good conversion speed. This topology is present on several mixed-signal programmable devices. These devices, when exposed to harsh environments, such as radiation, which is the case for space applications, are prone to Single Event Effects (SEEs). These effects may cause temporary failures, such as transient effects or memory upsets or even permanent failures on the circuit. This work presents the behavior of this type of converter after the occurrence of a transient fault on the circuit, by means of SPICE simulations. These transient faults may cause an inversion on the conversion due to a transient on the control logic of the switches, or a charge or discharge of the capacitors when a transient occur on the switches, as well as a failure on the comparator, which may propagate to the remainder stages of conversion, due to the sequential nature of the converter. A discussion about the possible fault mitigation techniques is also presented.

For gas turbines, the demand for high-performance, more efficient and longer-life turbine blades is increasing. This is especially so, now that there is a need for high-power and low-weight aircraft gas turbines. Thus, the search for improved design methodologies for the optimisation of combustor exit temperature profiles enjoys high priority. Traditional experimental methods are found to be too time-consuming and costly, and they do not always achieve near-optimal designs. In addition to the above deficiencies, methods based on semi-empirical correlations are found to be lacking in performing three-dimensional analyses and these methods cannot be used for parametric design optimisation. Computational fluid dynamics has established itself as a viable alternative to reduce the amount of experimentation needed, resulting in a reduction in the time scales and costs of the design process. Furthermore, computational fluid dynamics provides more insight into the flow process, which is not available through experimentation only. However, the fact remains that, because of the trial-and-error nature of adjusting the parameters of the traditional optimisation techniques used in this field, the designs reached cannot be called “optimum”. The trial-and-error process depends a great deal on the skill and experience of the designer. Also, the above technologies inhibit the improvement of the gas turbine power output by limiting the highest exit temperature possible, putting more pressure on turbine blade cooling technologies. This limitation to technology can be overcome by implementing a search algorithm capable of finding optimal design parameters. Such an algorithm will perform an optimum search prior to computational fluid dynamics analysis and rig testing. In this thesis, an efficient methodology is proposed for the design optimisation of a gas turbine combustor exit temperature profile. The methodology involves the combination of computational fluid dynamics with a gradient-based mathematical optimiser, using successive objective and constraint function approximations (Dynamic-Q) to obtain the optimum design. The methodology is tested on three cases, namely: (a) The first case involves the optimisation of the combustor exit temperature profile with two design variables related to the dilution holes, which is a common procedure. The combustor exit temperature profile was optimised, and the pattern factor improved, but pressure drop was very high. (b) The second case involves the optimisation of the combustor exit temperature profile with four design variables, one equality constraint and one inequality constraint based on pressure loss. The combustor exit temperature profile was also optimised within the constraints of pressure. Both the combustor exit temperature profile and pattern factor were improved. (c) The third case involves the optimisation of the combustor exit temperature profile with five design variables. The swirler angle and primary hole parameters were included in order to allow for the effect of the central toroidal recirculation zone on the combustor exit temperature profile. Pressure loss was also constrained to a certain maximum. The three cases show that a relatively recent mathematical optimiser (Dynamic-Q), combined with computational fluid dynamics, can be considered a strong alternative to the design optimisation of a gas turbine combustor exit temperature profile. This is due to the fact that the proposed methodology provides designs that can be called near-optimal, when compared with that yielded by traditional methods and computational fluid dynamics alone. / Thesis (PhD)--University of Pretoria, 2009. / Mechanical and Aeronautical Engineering / unrestricted

Power consumption is one of the main design constraints in today’s integrated circuits. For systems powered by small non-rechargeable batteries over their entire lifetime, such as medical implant devices, ultra-low power consumption is paramount. In these systems, analog-to-digital converters (ADCs) are key components as the interface between the analog world and the digital domain. This thesis addresses the design challenges, strategies, as well as circuit techniques of ultra-low-power ADCs for medical implant devices. Medical implant devices, such as pacemakers and cardiac defibrillators, typically requirelow-speed, medium-resolution ADCs. The successive approximation register (SAR) ADC exhibits significantly high energy efficiency compared to other prevalent ADC architectures due to its good tradeoffs among power consumption, conversion accuracy, and design complexity. To design an energy-efficient SAR ADC, an understanding of its error sources as well as its power consumption bounds is essential. This thesis analyzes the power consumption bounds of SAR ADC: 1) at low resolution, the power consumption is bounded by digital switching power; 2) at medium-to-high resolution, the power consumption is bounded by thermal noise if digital assisted techniques are used to alleviate mismatch issues; otherwise it is bounded by capacitor mismatch.  Conversion of the low frequency bioelectric signals does not require high speed, but ultra-low-power operation. This combined with the required conversion accuracy makes the design of such ADCs a major challenge. It is not straightforward to effectively reduce the unnecessary speed for lower power consumption using inherently fast components in advanced CMOS technologies. Moreover, the leakage current degrades the sampling accuracy during the long conversion time, and the leakage power consumption contributes to a significant portion of the total power consumption. Two SAR ADCs have been implemented in this thesis. The first ADC, implemented in a 0.13-µm CMOS process, achieves 9.1 ENOB with 53-nW power consumption at 1 kS/s. The second ADC, implemented in a 65-nm CMOS process, achieves the same resolution at 1 kS/s with a substantial (94%) improvement in power consumption, resulting in 3-nW total power consumption. Our work demonstrates that the ultra-low-power operation necessitates maximum simplicity in the ADC architecture.

À l’horizon 2024, l’expérience ATLAS prévoit de fonctionner à des luminosités 10 fois supérieures à la configuration actuelle. Par conséquent, l’électronique actuelle de lecture ne correspondra pas aux conditions de ces luminosités. Dans ces conditions, une nouvelle électronique devra être conçue. Cette mise à niveau est rendue nécessaire aussi par les dommages causés par les radiations et le vieillissement. Une nouvelle carte frontale va être intégrée dans l’électronique de lecture du calorimètre LAr. Un élément essentiel de cette carte est le Convertisseur Analogique-Numérique (CAN) présentant une résolution de 12bits pour une fréquence d’échantillonnage de 40MS/s, ainsi qu’une résistance aux irradiations. Compte tenu du grand nombre des voies, ce CAN doit remplir des critères sévères sur la consommation et la surface. Le but de cette thèse est de concevoir un CAN innovant qui peut répondre à ces spécifications. Une architecture à approximations successives (SAR) a été choisie pour concevoir notre CAN. Cette architecture bénéficie d’une basse consommation de puissance et d’une grande compatibilité avec les nouvelles technologies CMOS. Cependant, le SAR souffre de certaines limitations liées principalement aux erreurs de décisions et aux erreurs d’appariement des capacités du CNA. Deux prototypes de CAN-SAR 12bits ont été modélisés en Matlab afin d’évaluer leur robustesse. Ensuite les conceptions ont été réalisées dans une technologie CMOS 130nm d’IBM validée par la collaboration ATLAS pour sa tenue aux irradiations. Les deux prototypes intègrent un algorithme d’approximations avec redondance en 14 étapes de conversion, qui permet de tolérer des marges d’erreurs de décisions et d’ajouter une calibration numérique des effets des erreurs d’appariement des capacités. La partie logique de nos CAN est très simplifiée pour minimiser les retards de génération des commandes et la consommation d’énergie. Cette logique exécute un algorithme monotone de commutation des capacités du CNA permettant une économie de 70% de la consommation dynamique par rapport à un algorithme de commutation classique. Grâce à cet algorithme, une réduction de capacité totale est aussi obtenue : 50% en comparant notre premier prototype à un seul segment avec une architecture classique. Pour accentuer encore plus le gain en termes de surface et de consommation, un second prototype a été réalisé en introduisant un CNA à deux segments. Cela a abouti à un gain supplémentaire d’un facteur 7,64 sur la surface occupée, un facteur de 12 en termes de capacité totale, et un facteur de 1,58 en termes de consommation. Les deux CAN consomment respectivement une puissance de ~10,3mW et ~6,5mW, et ils occupent respectivement une surface de ~2,63mm2 et ~0,344mm2.Afin d’améliorer leurs performances, un algorithme de correction numérique des erreurs d’appariement des capacités a été utilisé. Des buffers de tensions de référence ont étés conçus spécialement pour permettre la charge/décharge des capacités du convertisseur en hautes fréquences et avec une grande précision. En simulations électriques, les deux prototypes atteignent un ENOB supérieur à 11bits tout en fonctionnant à la vitesse de 40MS/s. Leurs erreurs d’INL simulés sont respectivement +1,14/-1,1LSB et +1,66/-1,72LSB.Les résultats de tests préliminaires du premier prototype présentent des performances similaires à celles d’un CAN commercial de référence sur notre carte de tests. Après la correction, ce prototype atteint un ENOB de 10,5bits et un INL de +1/-2,18LSB. Cependant suite à une panne de carte de tests, les résultats de mesures du deuxième prototype sont moins précis. Dans ces circonstances, ce dernier atteint un ENOB de 9,77bits et un INL de +7,61/-1,26LSB. En outre la carte de tests actuelle limite la vitesse de fonctionnement à ~9MS/s. Pour cela une autre carte améliorée a été conçue afin d’atteindre un meilleur ENOB, et la vitesse souhaitée. Les nouvelles mesures vont être publiées dans le futur. / By 2024, the ATLAS experiment plan to operate at luminosities 10 times the current configuration. Therefore, many readout electronics must be upgraded. This upgrade is rendered necessary also by the damage caused by years of total radiations’ effect and devices aging. A new Front-End Board (FEB) will be designed for the LAr calorimeter readout electronics. A key device of this board is a radiation hard Analog-to-Digital Converter (ADC) featuring a resolution of 12bits at 40MS/s sampling rate. Following the large number of readout channels, this ADC device must display low power consumption and also a low area to easy a multichannel design.The goal of this thesis is to design an innovative ADC that can deal with these specifications. A Successive Approximation architecture (SAR) has been selected to design our ADC. This architecture has a low power consumption and many recent works has shown his high compatibility with modern CMOS scaling technologies. However, the SAR has some limitations related to decision errors and mismatches in capacitors array.Using Matlab software, we have created the models for two prototypes of 12bits SAR-ADC which are then used to study carefully their limitations, to evaluate their robustness and how it could be improved in digital domain.Then the designs were made in an IBM 130nm CMOS technology that was validated by the ATLAS collaboration for its radiation hardness. The prototypes use a redundant search algorithm with 14 conversion steps allowing some margins with comparator’s decision errors and opening the way to a digital calibration to compensate the capacitors mismatching effects. The digital part of our ADCs is very simplified to reduce the commands generation delays and saving some dynamic power consumption. This logic follows a monotonic switching algorithm which saves about70% of dynamic power consumption compared to the conventional switching algorithm. Using this algorithm, 50% of the total capacitance reduction is achieved when one compare our first prototype using a one segment capacitive DAC with a classic SAR architecture. To boost even more our results in terms of area and consumption, a second prototype was made by introducing a two segments DAC array. This resulted in many additional benefits: Compared to the first prototype, the area used is reduced in a ratio of 7,6, the total equivalent capacitance is divided by a factor 12, and finally the power consumption in improved by a factor 1,58. The ADCs respectively consume a power of ~10,3mW and ~6,5mW, and they respectively occupy an area of ~2,63mm2 and ~0,344mm2.A foreground digital calibration algorithm has been used to compensate the capacitors mismatching effects. A high frequency open loop reference voltages buffers have been designed to allow the high speed and high accuracy charge/discharge of the DAC capacitors array.Following electrical simulations, both prototypes reach an ENOB better than 11bits while operating at the speed of 40MS/s. The INL from the simulations were respectively +1.14/-1.1LSB and +1.66/-1.72LSB.The preliminary testing results of the first prototype are very close to that of a commercial 12bits ADC on our testing board. After calibration, we measured an ENOB of 10,5bits and an INL of +1/-2,18LSB. However, due to a testing board failure, the testing results of the second prototype are less accurate. In these circumstances, the latter reached an ENOB of 9,77bits and an INL of +7,61/-1,26LSB. Furthermore the current testing board limits the operating speed to ~9MS/s. Another improved board was designed to achieve a better ENOB at the targeted 40MS/s speed. The new testing results will be published in the future.

Conselho Nacional de Desenvolvimento Científico e Tecnológico / New trends and emerging technologies motivate the design of analog-to-digital converters (ADCs) which must fit in increasingly constrained environments. Within this context, one design metric which is constantly forced towards reduction is the power consumption, leading the designers to come up with improvements in both the architecture and circuit levels. This work aims to push forward the energy efficiency of the successive approximation charge sharing ADC, which is a relatively new and unexplored architecture. Therefore, three complete ADCs are designed throughout this work, each one bringing novelties that help decreasing the power consumption. The techniques devised here include novel manners of dealing with the tracking of the input signal and a circuit to reduce power drained in the pre-charge cycle. Also, three different architectures of digital controller for this ADC topology are designed. Moreover, a novel bootstrapping switch circuit is presented, which provides lower devices-count and a extremely high energy efficiency. / As novas tendências e tecnologias emergentes motivam o projeto de conversores analógico-digitais (ADCs) que precisam suprir especificações cada vez mais restritivas. Nesse contexto, uma métrica de projeto que é constantemente forçada em direção à redução é o consumo de potência, fato esse que leva à concepção de melhorias tanto em nível arquitetural como em nível de circuito elétrico. Este trabalho tem como objetivo elevar a eficiência energética dos ADCs por aproximações sucessivas e compartilhamento de carga, visto que essa é uma arquitetura relativamente nova e inexplorada. Portanto, três ADCs completos são projetados ao longo deste trabalho, e cada um traz inovações que ajudam a reduzir o consumo de potência. As técnicas concebidas aqui incluem maneiras novas de efetuar a captura do sinal de entrada e um circuito para reduzir a potência drenada no ciclo de pré-carga. Além disso, três arquiteturas diferentes de controlador digital para essa topologia de ADC são expostas. Mais, um novo circuito de chave com bootstrapping é apresentado, o qual apresenta um número de dispositivos menor e uma eficiência energética extremamente alta.

The aim of this master's thesis is suggestion and following realization of voice transmission over the local network equipment and a description of used circuits and solutions in terms of hardware and software. This thesis deals with digitization of low-frequency signals, the structure of IP and UDP protocols, implementation of TCP/IP stack cIPS

Chronic recording of neural signals is indispensable in designing efficient brain machine interfaces and to elucidate human neurophysiology. The advent of multi-channel micro-electrode arrays has driven the need for electronic store cord neural signals from many neurons. The continuous increase in demand of data from more number of neurons is challenging for the design of an efficient neural recording frontend(NRFE). Power consumption per channel and data rate minimization are two key problems which need to be addressed by next generation of neural recording systems. Area consumption per channel must be low for small implant size. Dynamic range in NRFE can vary with time due to change in electrode-neuron distance or background noise which demands adaptability. In this thesis, techniques to reduce power-per-channel and area-per-channel in a NRFE, via new circuits and architectures, are proposed. An area efficient low power neural LNA is presented in UMC 0.13 μm 1P8M CMOS technology. The amplifier can be biased adaptively from 200 nA to 2 μA , modulating input referred noise from 9.92 μV to 3.9μV . We also describe a low noise design technique which minimizes the noise contribution of the load circuitry. Optimum sizing of the input transistors minimizes the accentuation of the input referred noise of the amplifier. It obviates the need of large input coupling capacitance in the amplifier which saves considerable amount of chip area. In vitro experiments were performed to validate the applicability of the neural LNA in neural recording systems. ADC is another important block in a NRFE. An 8-bit SAR ADC along with the input and reference buffer is implemented in 0.13 μm CMOS technology. The use of ping-pong input sampling is emphasized for multichannel input to alleviate the bandwidth requirement of the input buffer. To reduce the output data rate, the A/D process is only enabled through a proposed activity dependent A/D scheme which ensures that the background noise is not processed. Based on the dynamic range requirement, the ADC resolution is adjusted from 8 to 1 bit at 1 bit step to reduce power consumption linearly. The ADC consumes 8.8 μW from1Vsupply at1MS/s and achieves ENOB of 7.7 bit. The ADC achieves FoM of 42.3 fJ/conversion in 0.13 μm CMOS technology. Power consumption in SARADCs is greatly benefited by CMOS scaling due to its highly digital nature. However the power consumption in the capacitive DAC does not scale as well as the digital logic. In this thesis, two energy-efficient DAC switching techniques, Flip DAC and Quaternary capacitor switching, are proposed to reduce their energy consumption. Using these techniques, the energy consumption in the DAC can be reduced by 37 % and 42.5 % compared to the present state-of-the-art. A novel concept of code-independent energy consumption is introduced and emphasized. It mitigates energy consumption degradation with small input signal dynamic range.

Silicon carbide (SiC) integrated circuits (ICs) can enable the emergence of robust and reliable systems, including data acquisition and on-site control for extreme environments with high temperature and high radiation such as deep earth drilling, space and aviation, electric and hybrid vehicles, and combustion engines. In particular, SiC ICs provide significant benefit by reducing power dissipation and leakage current at temperatures above 300 °C compared to the Si counterpart. In fact, Si-based ICs have a limited maximum operating temperature which is around 300 °C for silicon on insulator (SOI). Owing to its superior material properties such as wide bandgap, three times larger than Silicon, and low intrinsic carrier concentration, SiC is an excellent candidate for high-temperature applications. In this thesis, analog and mixed-signal circuits have been implemented using SiC bipolar technology, including bandgap references, amplifiers, a master-slave comparator, an 8-bit R-2R ladder-based digital-to-analog converter (DAC), a 4-bit flash analog-to-digital converter (ADC), and a 10-bit successive-approximation-register (SAR) ADC. Spice models were developed at binned temperature points from room temperature to 500 °C, to simulate and predict the circuits’ behavior with temperature variation. The high-temperature performance of the fabricated chips has been investigated and verified over a wide temperature range from 25 °C to 500 °C. A stable gain of 39 dB was measured in the temperature range from 25 °C up to 500 °C for the inverting operational amplifier with ideal closed-loop gain of 40 dB. Although the circuit design in an immature SiC bipolar technology is challenging due to the low current gain of the transistors and lack of complete AC models, various circuit techniques have been applied to mitigate these problems. This thesis details the challenges faced and methods employed for device modeling, integrated circuit design, layout implementation and finally performance verification using on-wafer characterization of the fabricated SiC ICs over a wide temperature range. / <p>QC 20170905</p>