Quantum Sizing of Power Electronics: A Trend Towards Miniaturiation of Power Electronic Systems and Equipments

2005 ◽  
Vol 872 ◽  
Author(s):  
Arindam Chakraborty ◽  
Ali Emadi

AbstractHuman ability to manipulate atoms and molecules on quantum basis has generated a new dimension of physical structures for molecular scale transistors and devices. We will discuss about nanodimensional single electron transistor. This molecular device works as a switching element by controlling the electron tunneling for amplifying the current. The basic structure consists of two tunnel junctions isolated by a common insulator of nanodimensional length.One broader aspect of nano power electronics is that, it has got significant role in nanodimensional device regime as tunneling diodes. They have got inherently fast tunneling rate, which makes them highly suitable for high-speed operation. A special type of tunneling diode is an interband tunneling diode (ITD), which is actually, a p-n diode. The V-I characteristics of such diodes are dependent upon the tunneling barrier and tunneling process itself. Another special feature of these diodes is their negative-differential-resistance characteristics. This special characteristic of such diodes makes them very useful in switching digital circuits.

2007 ◽  
Author(s):  
R. E. Crosbie ◽  
J. J. Zenor ◽  
R. Bednar ◽  
D. Word ◽  
N. G. Hingorani

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Shukai Duan ◽  
Xiaofang Hu ◽  
Lidan Wang ◽  
Shiyong Gao

The resonant tunneling diodes (RTD) have found numerous applications in high-speed digital and analog circuits owing to its folded-back negative differential resistance (NDR) in current-voltage (I-V) characteristics and nanometer size. On account of the replacement of the state resistor in standard cell by an RTD, an RTD-based cellular neural/nonlinear network (RTD-CNN) can be obtained, in which the cell requires neither self-feedback nor a nonlinear output, thereby being more compact and versatile. This paper addresses the structure of RTD-CNN in detail and investigates its fault-tolerant properties in image processing taking horizontal line detection and edge extraction, for examples. A series of computer simulations demonstrates the promising fault-tolerant abilities of the RTD-CNN.


2020 ◽  
Author(s):  
Shuai Zhao ◽  
Frede Blaabjerg ◽  
Huai Wang

<div>This is a preprint version of the manuscript submitted to IEEE on June 4, 2020.</div><div><br></div><div>This paper gives an overview of the Artificial Intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, control, and maintenance are correlated with one or more tasks to be addressed by AI, including optimization, classification, regression, and data structure exploration. The applications of four categories of AI are discussed, which are expert system, fuzzy logic, metaheuristic method, and machine learning. More than 500 publications have been reviewed to identify the common understandings, practical implementation challenges, and research opportunities in the application of AI for power electronics.<br></div>


2003 ◽  
Vol 13 (04) ◽  
pp. 1149-1253 ◽  
Author(s):  
D. L. Woolard ◽  
H. L. Cui ◽  
B. L. Gelmont ◽  
F. A. Buot ◽  
P. Zhao

This work is concerned with the quantum structure of resonant tunneling diodes, which exhibits intrinsic instability that can be exploited for the development of high-speed, high-frequency devices. The article examines in detail the physics underlying the non-liner instability, in both a one-band model and a multiple-band model. The theoretical basis of the description of electronic processes in such structures are described in some detail in terms of nonequilibrium Green's functions. Also presented here is a semi-phenomenological model of the resonant tunneling diode based on nonlinear circuit theory. Recent works and progresses in this and related areas are summarized here as well.


2014 ◽  
Vol 494-495 ◽  
pp. 1496-1499
Author(s):  
De Hua Zhang ◽  
Xiao Guang Jin ◽  
Jiao He

The reliability of Sampling and Transmitting Units (STU) are of great significance in power electronic systems. In order to reduce the sampling interruption, an FPGA-based and optic-isolated communication unit is proposed. The design philosophy and highlights of this method are described in detail. The sampled data is transmitted and received in digital mode in the STU. This unit realizes multi-channel sampling and supports simultaneous decoding of multiple fibers. It is pointed out that applications of this unit have practical value and excellent performance in isolation and transient properties in complicated power electronic systems. Waveforms and propagation delay between two nodes are presented by experimental result. The feasibility of the system design is shown through capacity calculations.


Author(s):  
P. K. Pradhan ◽  
M. S. Bada Panda ◽  
Ipsita Dwibedi ◽  
Swetlina Bhuyan

Power electronics systems used in wind energy conversion systems (WECS) are very important in modern variable speed large wind turbines and have become a focal point in the research of devices and their control mechanism. Most modern wind turbines operate at variable speed. This paper provides an in-depth review of power electronics systems used to interface variable speed wind turbine to the electric grid. The different variable speed induction generator-converter combinations are compared on the basis of topology, efficiency, cost and control techniques. Comparisons of the variable-speed and fixed-speed wind turbines (WT) are discussed. Moreover, attempts are made to highlight future trends and future challenges in power electronic systems in wind power generation.


2020 ◽  
Author(s):  
Shuai Zhao ◽  
Frede Blaabjerg ◽  
Huai Wang

<div>This is a preprint version of the manuscript submitted to IEEE on June 4, 2020.</div><div><br></div><div>This paper gives an overview of the Artificial Intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, control, and maintenance are correlated with one or more tasks to be addressed by AI, including optimization, classification, regression, and data structure exploration. The applications of four categories of AI are discussed, which are expert system, fuzzy logic, metaheuristic method, and machine learning. More than 500 publications have been reviewed to identify the common understandings, practical implementation challenges, and research opportunities in the application of AI for power electronics.<br></div>


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