1,901 research outputs found

    10-Bit 200 kHz/8-Channel Incremental ADC for Biosensor Applications

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    Power and area efficient reconfigurable delta sigma ADCs

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    A Power-Efficient Continuous-Time Incremental Sigma-Delta ADC for Neural Recording Systems

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    Extended-Range Second-Order Incremental Sigma-Delta ADC

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    A single-stage two-steps Extended-Range Second-Order Incremental ADC in 0.13um CMOS technology is presented here which achieves a Signal-to-Noise and Distortion Ratio (SNDR) as large as 73 dB. The proposed architecture of Extended-Range ADC based on Second-order multi-bit CIFF Incremental ADC reuses the IADC structure for coarse (input signal) as well as fine (residue) quantization without need of employment of explicit second ADC thereby minimizing power consumption and area occupancy. With a clock frequency of 80 MHz, the complete ERADC achieves in extracted simulation a peak SNDR of 73 dB at a data rate of 3.2 MS/s (25 clock cycles per conversion).A single-stage two-steps Extended-Range Second-Order Incremental ADC in 0.13um CMOS technology is presented here which achieves a Signal-to-Noise and Distortion Ratio (SNDR) as large as 73 dB. The proposed architecture of Extended-Range ADC based on Second-order multi-bit CIFF Incremental ADC reuses the IADC structure for coarse (input signal) as well as fine (residue) quantization without need of employment of explicit second ADC thereby minimizing power consumption and area occupancy. With a clock frequency of 80 MHz, the complete ERADC achieves in extracted simulation a peak SNDR of 73 dB at a data rate of 3.2 MS/s (25 clock cycles per conversion)

    Ultra-low noise, high-frame rate readout design for a 3D-stacked CMOS image sensor

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    Due to the switch from CCD to CMOS technology, CMOS based image sensors have become smaller, cheaper, faster, and have recently outclassed CCDs in terms of image quality. Apart from the extensive set of applications requiring image sensors, the next technological breakthrough in imaging would be to consolidate and completely shift the conventional CMOS image sensor technology to the 3D-stacked technology. Stacking is recent and an innovative technology in the imaging field, allowing multiple silicon tiers with different functions to be stacked on top of each other. The technology allows for an extreme parallelism of the pixel readout circuitry. Furthermore, the readout is placed underneath the pixel array on a 3D-stacked image sensor, and the parallelism of the readout can remain constant at any spatial resolution of the sensors, allowing extreme low noise and a high-frame rate (design) at virtually any sensor array resolution. The objective of this work is the design of ultra-low noise readout circuits meant for 3D-stacked image sensors, structured with parallel readout circuitries. The readout circuit’s key requirements are low noise, speed, low-area (for higher parallelism), and low power. A CMOS imaging review is presented through a short historical background, followed by the description of the motivation, the research goals, and the work contributions. The fundamentals of CMOS image sensors are addressed, as a part of highlighting the typical image sensor features, the essential building blocks, types of operation, as well as their physical characteristics and their evaluation metrics. Following up on this, the document pays attention to the readout circuit’s noise theory and the column converters theory, to identify possible pitfalls to obtain sub-electron noise imagers. Lastly, the fabricated test CIS device performances are reported along with conjectures and conclusions, ending this thesis with the 3D-stacked subject issues and the future work. A part of the developed research work is located in the Appendices.Devido Ă  mudança da tecnologia CCD para CMOS, os sensores de imagem em CMOS tornam se mais pequenos, mais baratos, mais rĂĄpidos, e mais recentemente, ultrapassaram os sensores CCD no que respeita Ă  qualidade de imagem. Para alĂ©m do vasto conjunto de aplicaçÔes que requerem sensores de imagem, o prĂłximo salto tecnolĂłgico no ramo dos sensores de imagem Ă© o de mudar completamente da tecnologia de sensores de imagem CMOS convencional para a tecnologia “3D-stacked”. O empilhamento de chips Ă© relativamente recente e Ă© uma tecnologia inovadora no campo dos sensores de imagem, permitindo vĂĄrios planos de silĂ­cio com diferentes funçÔes poderem ser empilhados uns sobre os outros. Esta tecnologia permite portanto, um paralelismo extremo na leitura dos sinais vindos da matriz de pĂ­xeis. AlĂ©m disso, num sensor de imagem de planos de silĂ­cio empilhados, os circuitos de leitura estĂŁo posicionados debaixo da matriz de pĂ­xeis, sendo que dessa forma, o paralelismo pode manter-se constante para qualquer resolução espacial, permitindo assim atingir um extremo baixo ruĂ­do e um alto debito de imagens, virtualmente para qualquer resolução desejada. O objetivo deste trabalho Ă© o de desenhar circuitos de leitura de coluna de muito baixo ruĂ­do, planeados para serem empregues em sensores de imagem “3D-stacked” com estruturas altamente paralelizadas. Os requisitos chave para os circuitos de leitura sĂŁo de baixo ruĂ­do, rapidez e pouca ĂĄrea utilizada, de forma a obter-se o melhor rĂĄcio. Uma breve revisĂŁo histĂłrica dos sensores de imagem CMOS Ă© apresentada, seguida da motivação, dos objetivos e das contribuiçÔes feitas. Os fundamentos dos sensores de imagem CMOS sĂŁo tambĂ©m abordados para expor as suas caracterĂ­sticas, os blocos essenciais, os tipos de operação, assim como as suas caracterĂ­sticas fĂ­sicas e suas mĂ©tricas de avaliação. No seguimento disto, especial atenção Ă© dada Ă  teoria subjacente ao ruĂ­do inerente dos circuitos de leitura e dos conversores de coluna, servindo para identificar os possĂ­veis aspetos que dificultem atingir a tĂŁo desejada performance de muito baixo ruĂ­do. Por fim, os resultados experimentais do sensor desenvolvido sĂŁo apresentados junto com possĂ­veis conjeturas e respetivas conclusĂ”es, terminando o documento com o assunto de empilhamento vertical de camadas de silĂ­cio, junto com o possĂ­vel trabalho futuro

    On Continuous-Time Incremental ΣΔ\Sigma\Delta ADCs With Extended Range

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    Implementation and Analysis of Direct Torque Control for Permanent Magnet Synchronous Motor Using Gallium Nitride based Inverter

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    Permanent magnet synchronous machines (PMSMs) attract considerable attention in various industrial applications, such as electric and hybrid electric vehicles, due to their high efficiency and high-power density. In this thesis, the mathematical model of PMSM and two popular control strategies, field-oriented control (FOC) and direct torque control (DTC), are analyzed and compared. The results demonstrated that the DTC has better dynamic response in comparison to FOC. Moreover, DTC can eliminate the use of position sensor, which will save the cost of the PMSM drive system. Therefore, this thesis focuses on the design and implementation of high-performance DTC for PMSMs with a Gallium Nitride (GaN) based high switching frequency motor drive. First, the characteristics and operation principles of a PMSM are introduced. Then, the mathematical models of a PMSM under different coordinate systems are investigated. Consequently, a PMSM model is developed based on the dq rotating reference frame and implemented in the MATLAB/Simulink for validation. Two advanced PMSM control strategies, FOC and DTC, are investigated and compared in terms of control performance through comprehensive simulation studies and the results demonstrate that DTC has better dynamic performance. Conventional DTC contributes to higher torque ripple in the PMSM due to the limited switching frequency in a conventional semiconductor-based motor drive, which inevitably deteriorates the drive performance. Therefore, this thesis aims to reduce the torque ripple in the DTC based PMSM drive by using the new generation wide bandgap switching devices. More specifically, DTC is improved by using the optimized space vector pulse width modulation strategy and a higher switching frequency contributed by the GaN based motor drive. Finally, the proposed DTC-SVM based PMSM control strategy is implemented on the digital signal processor (DSP) and evaluated on the laboratory GaN based PMSM drive. Both the simulation and experimental results show that the proposed improvement in the DTC can further improve the PMSM drive performance
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