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Relevant bibliographies by topics / Adaptive voltage scaled processor

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Academic literature on the topic 'Adaptive voltage scaled processor'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Adaptive voltage scaled processor"

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BLAAUW, DAVID, STEVE MARTIN, TREVOR MUDGE, and KRISZTIAN FLAUTNER. "LEAKAGE CURRENT REDUCTION IN VLSI SYSTEMS." Journal of Circuits, Systems and Computers 11, no. 06 (2002): 621–35. http://dx.doi.org/10.1142/s0218126602000665.

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There is a growing need to analyze and optimize the stand-by component of power in digital circuits designed for portable and battery-powered applications. Since these circuits remain in stand-by (or sleep) mode significantly longer than in active mode, their stand-by current, and not their active switching current, determines their battery life. Hence, stringent specifications are being placed on the stand-by (or leakage) current drawn by such devices. As the power supply voltage is reduced, the threshold voltage of transistors is scaled down to maintain a constant switching speed. Since redu

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YEH, CHANG-CHING, KUEI-CHUNG CHANG, TIEN-FU CHEN, and CHINGWEI YEH. "ADAPTIVE PIPELINE VOLTAGE SCALING IN HIGH PERFORMANCE MICROPROCESSOR." Journal of Circuits, Systems and Computers 19, no. 08 (2010): 1817–34. http://dx.doi.org/10.1142/s0218126610007146.

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Deep pipeline has traditionally been widely used in high performance microprocessor. To allow continuous program execution, branch prediction provides a necessary method of speculatively executing instructions without compromising performance. However, branch misprediction penalty significantly impacts the performance of the deep pipeline processor. This study presents a new Adaptive Pipeline Voltage Scaling (APVS) technique to reduce branch misprediction penalty. For a likely mispredicted branch entering the processor, APVS begins increasing voltage and merging deep pipeline whereby shorter p

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Avirajamanjula, P., and P. Palanivel. "Corroboration of Normalized Least Mean Square Based Adaptive Selective Current Harmonic Elimination in Voltage Source Inverter using DSP Processor." International Journal of Power Electronics and Drive Systems (IJPEDS) 6, no. 1 (2015): 178. http://dx.doi.org/10.11591/ijpeds.v6.i1.pp178-184.

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A direct Selective current harmonic elimination pulse width modulation technique is proposed for induction motor drive fed from voltage source inverter. The developed adaptive filtering algorithm for the selective current harmonic elimination in a three phase Voltage Source Inverter is a direct method to improve the line current quality of the Voltage Source Inverter base drive at any load condition. The self-adaptive algorithm employed has the capability of managing the time varying nature of load (current). The proposed Normalized Least Mean Squares algorithm based scheme eliminates the sele

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Qu, Bo, and Hui Juan Gu. "Design of Adaptive Precision Power Supply Based on STM32." Applied Mechanics and Materials 513-517 (February 2014): 3472–75. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3472.

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Two independent 0-10V programmable power supply and protection system are introduced in this paper, using ST 32bit processor STM32F103 as the control chip to receives the voltage output command of the PC, In order to achieve the purpose of stable output, through continuous output sampling for multiple sets of data. use curve fitting algorithm and the dichotomy successively for adaptive adjustment. This scheme also uses the software protection and hardware protection double insurance design, to ensure that the safety of power supply and the electric appliances.

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Liu, Chun-Yu, Yi-Hua Liu, Shun-Chung Wang, Zong-Zhen Yang, and Song-Pei Ye. "An Adaptive Synchronous Rectification Driving Strategy for Bidirectional Full-Bridge LLC Resonant Converter." Energies 14, no. 8 (2021): 2298. http://dx.doi.org/10.3390/en14082298.

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In this study, an adaptive driving method for synchronous rectification in bidirectional full-bridge LLC resonant converters used in railway applications is proposed. The drain to source voltage of the synchronous rectifier is utilized to detect the conduction of the body diode, and a suitable driving signal for synchronous rectification is generated accordingly. The proposed driving scheme is simple and can be realized using a low-cost digital signal processor (DSP). According to the experimental results, which averaged 0.4625% and 1.097%, improvement can be observed under charging and discha

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Lutkemeier, Sven, Thorsten Jungeblut, Hans Kristian Otnes Berge, Snorre Aunet, Mario Porrmann, and Ulrich Ruckert. "A 65 nm 32 b Subthreshold Processor With 9T Multi-Vt SRAM and Adaptive Supply Voltage Control." IEEE Journal of Solid-State Circuits 48, no. 1 (2013): 8–19. http://dx.doi.org/10.1109/jssc.2012.2220671.

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Chen, Ming-Hung. "Development of Shunt-Type Three-Phase Active Power Filter with Novel Adaptive Control for Wind Generators." Scientific World Journal 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/963456.

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This paper proposes a new adaptive filter for wind generators that combines instantaneous reactive power compensation technology and current prediction controller, and therefore this system is characterized by low harmonic distortion, high power factor, and small DC-link voltage variations during load disturbances. The performance of the system was first simulated using MATLAB/Simulink, and the possibility of an adaptive digital low-pass filter eliminating current harmonics was confirmed in steady and transient states. Subsequently, a digital signal processor was used to implement an active po

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Mat Lazi, Jurifa, Zulkifilie Ibrahim, MHN Talib, Azrita Alias, Ainain Nur, and Maaspaliza Azri. "Speed and position estimator of for sensorless PMSM drives using adaptive controller." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 1 (2019): 128. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp128-136.

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<p>Nowadays, the elimination of the speed sensor in Permanent Magnet Synchronous Machine (PMSM) is greatly recommended to increase efficiency and reduce the cost of the drives. This paper proposes a simple estimator for speed and rotor position of PMSM drives using adaptive controller. The novelties of the proposed method are the simple estimator equations and the absence of the voltage probe which depend on direct and quadrature reference current only. The simplified mathematical model of the PMSM is formulated by using <em>V-I</em> model, based on adaptive control. Then, th

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Vasamsetti, Mrs Ramya, Ms S. Varalakshmi та Mrs M. Manga Lakshmi. "Voltage Regulation of Hydro Standalone 1-Φ Micro Grid using Fuzzy Logic Based Adaptive Sliding Mode Control Algorithm". International Journal of Engineering and Advanced Technology 10, № 2 (2020): 241–49. http://dx.doi.org/10.35940/ijeat.b2071.1210220.

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This paper presents an adaptive sliding mode control (ASMC) of an improved power quality standalone single phase microgrid system. The proposed microgrid system integrates a governor-less micro-hydro turbine driven single- phase two winding self-excited induction generator (SEIG) with a wind driven permanent magnet brushless DC (PMBLDC) generator, solar photo-voltaic (PV) array and a battery energy storage system (BESS). These renewable energy sources are integrated using only one single-phase voltage source converter (VSC). The ASMC based control algorithm is used to estimate the reference so

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Lu, E., J. Ni, Z. G. Huang, and S. M. Wu. "An Integrated Lattice Filter Adaptive Control System for Time-Varying CMM Structural Vibration Control, Part 2: Experimental Implementation." Journal of Engineering for Industry 118, no. 1 (1996): 77–87. http://dx.doi.org/10.1115/1.2803650.

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The integrated fast lattice filter adaptive control algorithm developed in Part 1 of this paper will be implemented for the control of the structural vibration of a coordinate measuring machine (CMM). The structural vibration of a CMM exhibits time-varying dynamic characteristics. For auxiliary control, the probe head acceleration was measured to compute the voltage input to the servo motor of the CMM. The developed algorithm uses directly the lattice filter parameters to track and control the CMM structural dynamics and is implemented on a Sheffield horizontal arm Coordinate Measuring Machine

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Dissertations / Theses on the topic "Adaptive voltage scaled processor"

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Shiomi, Jun. "Performance Modeling and On-Chip Memory Structures for Minimum Energy Operation in Voltage-Scaled LSI Circuits." Kyoto University, 2017. http://hdl.handle.net/2433/228252.

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Park, Junyoung. "Self-tuning dynamic voltage scaling techniques for processor design." 2013. http://hdl.handle.net/2152/22989.

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The Dynamic Voltage Scaling (DVS) technique has proven to be ideal in regard to balancing performance and energy consumption of a processor since it allows for almost cubic reduction in dynamic power consumption with only a nearly linear reduction in performance. Due to its virtue, the DVS technique has been used for the two main purposes: energy-saving and temperature reduction. However, recently, a Dynamic Voltage Scaled (DVS) processor has lost its appeal as process technology advances due to the increasing Process, Voltage and Temperature (PVT) variations. In order to make a processor tol

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Tsou, Jie-Wen, and 鄒文傑. "Digital Low Dropout Regulator with Anti-PVT-Variation Technique for Dynamic Voltage Scaling and Adaptive Voltage Scaling Multi-core Processor." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/65537854981781684887.

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碩士<br>國立交通大學<br>電控工程研究所<br>105<br>Multi-core processor have been widely used in battery-operated portable systems, desktop, and server applications, where dynamic voltage scaling (DVS) and adaptive voltage scaling (AVS) techniques are commonly employed to lower power consumption and improve thermal performance of the cores. To maximize the energy efficiency of a processor when using DVS and AVS, it is highly desirable to independently control the supply and the clock frequency for each core. As the number of cores grows, fast, cost-effective, and energy-efficient DVS and AVS schemes become pro

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Book chapters on the topic "Adaptive voltage scaled processor"

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Ramadass, Yogesh K., Joyce Kwong, Naveen Verma, and Anantha Chandrakasan. "Adaptive Supply Voltage Delivery for Ultra-dynamic Voltage Scaled Systems." In Adaptive Techniques for Dynamic Processor Optimization. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76472-6_5.

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Clark, Lawrence T., Franco Ricci, and William E. Brown. "Dynamic Voltage Scaling with the XScale Embedded Microprocessor." In Adaptive Techniques for Dynamic Processor Optimization. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76472-6_6.

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Tschanz, James. "Dynamic Adaptation Using Body Bias, Supply Voltage, and Frequency." In Adaptive Techniques for Dynamic Processor Optimization. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76472-6_4.

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Meijer, Maurice, and José Pineda Gyvez. "Technological Boundaries of Voltage and Frequency Scaling for Power Performance Tuning." In Adaptive Techniques for Dynamic Processor Optimization. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76472-6_2.

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Conference papers on the topic "Adaptive voltage scaled processor"

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Zhu, JiaFeng, Na Bai, and JianHui Wu. "Process-temperature-frequency adaptive voltage scaled SRAM system for power reduction." In 2011 23rd International Conference on Microelectronics (ICM). IEEE, 2011. http://dx.doi.org/10.1109/icm.2011.6177409.

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Das, S., D. Roberts, Seokwoo Lee, et al. "A Self-Tuning Dynamic Voltage Scaled Processor Using Delay-Error Detection and Correction." In 2006 IEEE International Conference on IC Design and Technology. IEEE, 2006. http://dx.doi.org/10.1109/icicdt.2006.220829.

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Luetkemeier, Sven, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rueckert. "A 200mV 32b subthreshold processor with adaptive supply voltage control." In 2012 IEEE International Solid- State Circuits Conference - (ISSCC). IEEE, 2012. http://dx.doi.org/10.1109/isscc.2012.6177101.

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Floyd, Michael S., Phillip J. Restle, Michael A. Sperling, et al. "26.5 Adaptive clocking in the POWER9™ processor for voltage droop protection." In 2017 IEEE International Solid- State Circuits Conference - (ISSCC). IEEE, 2017. http://dx.doi.org/10.1109/isscc.2017.7870452.

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Keller, Ben, Martin Cochet, Brian Zimmer, et al. "Sub-microsecond adaptive voltage scaling in a 28nm FD-SOI processor SoC." In ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference. IEEE, 2016. http://dx.doi.org/10.1109/esscirc.2016.7598294.

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Babayan, Davit, Eduard Babayan, Sevak Antonyan, Ani Salmasyan, Emil Kagramanyan, and Aram Avetisyan. "A new approach of multi voltage and adaptive voltage scaling techniques for 16 nm FinFET RISC processor." In 2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO). IEEE, 2017. http://dx.doi.org/10.1109/elnano.2017.7939732.

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Carrico, James D., Nicklaus W. Traeden, Matteo Aureli, and Kam K. Leang. "Fused Filament Additive Manufacturing of Ionic Polymer-Metal Composite Soft Active 3D Structures." In ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/smasis2015-8895.

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This paper describes a new three-dimensional (3D) additive manufacturing (AM) technique in which electroactive polymer filament material is used to build soft active 3D structures, layer by layer. The proposed manufacturing process is well-suited for creating electroactive soft complex structures and devices, whereby the entire system can be manufactured from an electroactive polymer material. For the first time, the unique actuation and sensing properties of ionic polymer-metal composite (IPMC) is exploited and directly incorporated into the structural design to create sub-millimeter scale ci

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Tsou, Wen-Jie, Wen-Hau Yang, Jian-He Lin, et al. "20.2 Digital low-dropout regulator with anti PVT-variation technique for dynamic voltage scaling and adaptive voltage scaling multicore processor." In 2017 IEEE International Solid- State Circuits Conference - (ISSCC). IEEE, 2017. http://dx.doi.org/10.1109/isscc.2017.7870399.

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Sharifi Kia, Danial, Shahrzad Towfighian, and Congrui Jin. "Predicting the Output of a Triboelectric Energy Harvester Undergoing Mechanical Pressure." In ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/smasis2016-9157.

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Energy harvesting using a triboelectric nanogenerator (TENG) has been a major area of research in the recent years in order to harvest mechanical energy in different scales. High energy conversion efficiency, broad range of application in different systems and relatively easy fabrication process are among the factors demonstrating essential needs for TENG technology development. Performance of a TENG could be affected by many factors such as the frequency of vibration and the surface charge density. As a key factor in improving the power output of TENGs, surface charge density could be modifie

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Cuppoletti, John. "Composite Synthetic Membranes Containing Native and Engineered Transport Proteins." In ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-449.

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Our membrane transport protein laboratory has worked with material scientists, computational chemists and electrical and mechanical engineers to design bioactuators and sensing devices. The group has demonstrated that it is possible to produce materials composed native and engineered biological transport proteins in a variety of synthetic porous and solid materials. Biological transport proteins found in nature include pumps, which use energy to produce gradients of solutes, ion channels, which dissipate ion gradients, and a variety of carriers which can either transport substances down gradie

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