Real-Time Digital Control of Synchronous Buck Converter for Low-Power Application

2018 ◽  
pp. 469-478
Author(s):  
R. Rashmi ◽  
M. D. Uplane
Keyword(s):  
Low Power ◽  
Real Time ◽  
Digital Control ◽  
Buck Converter ◽  
Power Application

scholarly journals Implementation of a low cost ac-dc converter for high and low power applications

2017 ◽  
Vol 7 (1.2) ◽  
pp. 77
Author(s):  
R. C. Ilambirai ◽  
Subhransu Sekhar Dash ◽  
N K Rayaguru
Keyword(s):  
Low Power ◽  
Low Cost ◽  
Input Voltage ◽  
Time Instant ◽  
Buck Converter ◽  
Multiport Converter ◽  
Switching Losses ◽  
Bridge Rectifier ◽  
Single Input ◽  
Power Application

This paper proposes an ac-dc converter that gives multiple outputs capable of feeding both high and low power applications. The input ac supply is converted to dc by a diode bridge rectifier, filtered and fed to a modified multiport converter (MPC). This paper focuses on the design of the modified multiport converter that has a cascaded combination of zeta and a buck converter. This is designed as a single input and multiple output converter (SIMO) structure which can operate two loads, one with a high power and other with a low power application, depending on the time instant. The need for opting a multiport converter, reduces the number of switches utilized, thereby reducing the switching losses in the circuit. The zeta in the MPC boosts the input voltage and the buck converter reduces the input voltage and is accordingly fed to the need of the load. The design of the components have been analysed through steady state. MATLAB Simulink has been used to simulate the converter circuit and the varied outputs of the zeta and buck modes are compared. A hardware prototype of the ac-dc converter has been implemented and their results have been shown.

scholarly journals KONVERTER ARUS SEARAH TIPE BUCK DENGAN RANGKAIAN PEMICU MIKROKONTROLLER ARDUINO UNTUK APLIKASI GENERATOR TERMOELEKTRIK

TRANSIENT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 853
Author(s):  
Ali Mashduuqi ◽  
Mochammad Facta ◽  
Bambang Winardi
Keyword(s):  
Low Power ◽  
Buck Converter ◽  
Power Application

Generator termoelektrik merupakan salah satu sumber energi terbarukan yang mudah untuk didapatkan. Modul termoelektrik dapat mengkonversi  energi panas menjadi energi listrik tegangan arus searah, energi listrik tegangan arus searah ini dapat digunakan sebagai sumber energi listrik. Penggunaan konverter arus searah pada generator termoelektrik termasuk dalam aplikasi daya rendah (Low Power Application).  Dalam Tugas Akhir ini, dirancang konverter arus searah tipe buck dengan menggunakan kontroller arduino sebagai rangkaian pembangkit sinyal PWM dalam kondisi tanpa umpan balik dan dengan umpan balik tegangan. Umpan balik tegangan mampu menjaga nilai tegangan pada nilai yang dikehendaki. Berdasarkan hasil pengujian, rangkaian konverter arus searah tipe buck dapat menghasilkan tegangan dalam kondisi loop terbuka dengan nilai efisiensi rata-rata sebesar 80,16% . Berdasarkan hasil pengukuran, rangkaian buck converter dengan umpan balik  tegangan, nilai tegangan keluaran dapat dijaga pada nilai 4-5 Volt  dengan tegangan keluaran rata-rata sebesar 4,45 Volt dengan nilai efisiensi rata-rata buck converter dengan umpan balik sebesar 81.68%.

scholarly journals Real-time 2D–3D door detection and state classification on a low-power device

2021 ◽  
Vol 3 (5) ◽  
Author(s):  
João Gaspar Ramôa ◽  
Vasco Lopes ◽  
Luís A. Alexandre ◽  
S. Mogo
Keyword(s):  
Low Power ◽  
Real Time ◽  
Object Classification ◽  
Semantic Segmentation ◽  
Detection Algorithm ◽  
Power Device ◽  
Indoor Environments ◽  
State Classification ◽  
Segmentation Algorithms ◽  
Indoor Spaces

AbstractIn this paper, we propose three methods for door state classification with the goal to improve robot navigation in indoor spaces. These methods were also developed to be used in other areas and applications since they are not limited to door detection as other related works are. Our methods work offline, in low-powered computers as the Jetson Nano, in real-time with the ability to differentiate between open, closed and semi-open doors. We use the 3D object classification, PointNet, real-time semantic segmentation algorithms such as, FastFCN, FC-HarDNet, SegNet and BiSeNet, the object detection algorithm, DetectNet and 2D object classification networks, AlexNet and GoogleNet. We built a 3D and RGB door dataset with images from several indoor environments using a 3D Realsense camera D435. This dataset is freely available online. All methods are analysed taking into account their accuracy and the speed of the algorithm in a low powered computer. We conclude that it is possible to have a door classification algorithm running in real-time on a low-power device.

Real-time, High-resolution Depth Upsampling on Embedded Accelerators

2021 ◽  
Vol 20 (3) ◽  
pp. 1-22
Author(s):  
David Langerman ◽  
Alan George
Keyword(s):  
High Resolution ◽  
Low Power ◽  
Real Time ◽  
Mixed Reality ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Reconfigurable Logic ◽  
Depth Sensors ◽  
Time Requirements ◽  
Graphics Processing

High-resolution, low-latency apps in computer vision are ubiquitous in today’s world of mixed-reality devices. These innovations provide a platform that can leverage the improving technology of depth sensors and embedded accelerators to enable higher-resolution, lower-latency processing for 3D scenes using depth-upsampling algorithms. This research demonstrates that filter-based upsampling algorithms are feasible for mixed-reality apps using low-power hardware accelerators. The authors parallelized and evaluated a depth-upsampling algorithm on two different devices: a reconfigurable-logic FPGA embedded within a low-power SoC; and a fixed-logic embedded graphics processing unit. We demonstrate that both accelerators can meet the real-time requirements of 11 ms latency for mixed-reality apps. 1

scholarly journals A Simulation Study on the Effects of Interface Charges and Geometry on Vertical GAA GaN Nanowire MOSFET for Low-Power Application

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 101447-101453
Author(s):  
Terirama Thingujam ◽  
Quan Dai ◽  
Eunjin Kim ◽  
Jung-Hee Lee
Keyword(s):  
Low Power ◽  
Simulation Study ◽  
Interface Charges ◽  
Gan Nanowire ◽  
Power Application ◽  
Nanowire Mosfet
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