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2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)最新文献

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A Search Space Reduction Algorithm Applied for Transient Stability Constrained Optimal Power Flow 一种用于暂态稳定约束最优潮流的搜索空间约简算法
M. L. S. S. Kumar, Kiran Teeparthi, Sreenadh Batchu
Transient stability constrained optimal power flow (TSC-OPF) is a well known problem in the literature. Several nu-merical based and heuristic based approaches have been applied to solve this problem so far. In the literature, it is shown that meta heuristic-population based methods are fast and effective in handling this problem. This paper proposes a heuristic method based workflow known as, search space reduction algorithm (SSRA) based workflow to solve the TSC-OPF problem. The SSRA based TSC-OPF solution make changes in active power generations of the generators in the power system such that both the goals, system economy of operation and stability requirements are reconciled, satisfying both the static and dynamic constraints. The proposed method is tested on 10 machine 39 bus system and results indicates that the proposed approach has capability to explore and exploit efficiently, the search range to reach a near global optimal point. The results are compared with different evolutionary algorithms like PSO and GWO, and the comparison results shows that the proposed method achieves more near global optimum compared with its counterparts. Further, the effect of the algorithm tuning parameters on its convergence characteristics has also been investigated in a systematic manner.
暂态稳定约束最优潮流(TSC-OPF)是一个众所周知的问题。目前已有几种基于数值和启发式的方法来解决这一问题。文献表明,基于元启发式种群的方法能够快速有效地处理这一问题。本文提出了一种基于工作流的启发式方法,即基于搜索空间约简算法(SSRA)的工作流来解决TSC-OPF问题。基于SSRA的TSC-OPF方案通过改变电力系统中各发电机组的有功功率,使目标、系统运行经济性和稳定性要求得到协调,同时满足静态约束和动态约束。在10机39总线系统上进行了测试,结果表明该方法具有有效的搜索和开发能力,搜索范围接近全局最优点。将结果与PSO和GWO等不同的进化算法进行了比较,结果表明,与同类算法相比,所提方法更接近全局最优。此外,还系统地研究了算法调优参数对其收敛特性的影响。
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引用次数: 0
Design & Analysis of Performance-efficient Comparator for IoT Application 物联网应用中高效性能比较器的设计与分析
Buddhi Prakash Sharma, Anu Gupta, C. Shekhar
The regenerative latch comparator prototype for high-speed up to 1 Giga Hertz analog-to-digital conversion is shown in this article. Cascading structure of different modules makes the proposed comparator a suitable choice for various converters like SAR, Pipelined, Flash, etc. The proposed comparator achieves efficiency in terms of propagation latency, power consumption, and area as compared to the present state of the art mentioned in this work. Additionally, it uses the cadence schematic editor tool to illustrate how the performance of a comparator changes depending on its common-mode voltage (Vcm) and input (Vid) on TSMC 180 nm CMOS technology.
再生锁存器比较器原型高速高达1千兆赫模拟到数字转换显示在这篇文章。不同模块的级联结构使所提出的比较器成为SAR、Pipelined、Flash等各种转换器的合适选择。与本工作中提到的现有技术相比,所提出的比较器在传播延迟、功耗和面积方面实现了效率。此外,它还使用节奏原理图编辑器工具来说明比较器的性能如何根据其在台积电180纳米CMOS技术上的共模电压(Vcm)和输入(Vid)而变化。
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引用次数: 0
GVA: Gated Variational Autoencoder for de novo molecule generation 用于从头分子生成的门控变分自编码器
Arun Singh Bhadwal, K. Kumar
Molecule generation refers to the process of designing new chemicals with certain chemical properties and then optimising these properties. Following prior research, we encode chemicals as continuous vectors and decode the embedding vectors back into molecules using the variational autoencoder architecture. The encoder and decoder of the proposed variational atoencoder are based on gated recurrent unit cells. The gated recurrent unit cells limit the amount of learnable parameters in the variational autoencoder. The variational autoencoder based on gated recurrent units provides validity of 92.32 % and reconstruction accuracy of 89.63% percent, which is superior to other state-of-the-art techniques. The proposed model is effective in generating compounds with diverse properties.
分子生成是指设计具有某些化学性质的新化学品,然后优化这些化学性质的过程。根据先前的研究,我们将化学物质编码为连续向量,并使用变分自编码器架构将嵌入向量解码回分子。所提出的变分编码器的编码器和解码器是基于门控循环单元格的。门控循环单元胞限制了变分自编码器中可学习参数的数量。基于门控循环单元的变分自编码器的有效性为92.32%,重构精度为89.63%,优于其他先进技术。该模型可以有效地生成具有不同性质的化合物。
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引用次数: 1
Disturbance Observer-based Resilient Controller for Nonlinear Maglev System 基于扰动观测器的非线性磁悬浮系统弹性控制器
A. Verma, V. Patel, Dipayan Guha
This paper has attempted to assess the effectiveness of a disturbance observer-based fractional-order sliding mode controller applied to a nonlinear magnetic levitation system. The performance of the designed robust controller has been assessed considering parametric uncertainty and exogenous system disturbances. The main motivation for introducing fractional-order calculus and disturbance observer is to mitigate the problem of chattering in the control input. The presented result of the simulation shows the mastery of the suggested robust controller in coping with unknown/uncertain system disturbances. Moreover, improvement in chattering at the output of the controller is also considerably attenuated with the augmentation of the proposed scheme.
本文试图评估一种基于扰动观测器的分数阶滑模控制器应用于非线性磁悬浮系统的有效性。在考虑参数不确定性和外源系统干扰的情况下,对所设计的鲁棒控制器的性能进行了评估。引入分数阶微积分和扰动观测器的主要动机是为了减轻控制输入中的抖振问题。仿真结果表明,所提出的鲁棒控制器在处理未知/不确定系统干扰方面具有较强的控制能力。此外,随着所提方案的增强,控制器输出端的抖振改善也显著减弱。
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引用次数: 1
16 Watt S-Band GaN Based Power Amplifier Using Replicating Stages 基于复制级的16瓦s波段GaN功率放大器
Mohammad Zaid, A. Pampori, Y. Chauhan
In this paper, we propose a 16W S-Band Power Amplifier using coupler based design. The design procedure involves the use of power splitting and combining in order to achieve high power of operation. The power amplifier has a measured gain of 14.37 dB at 2.6 GHz, an output power of 42 dBm, and a measured Power Added Efficiency (PAE) of 48.7%. In terms of linearity, the circuit has a measured Output 1-dB compression point OP1dB of 34 dBm and an output Third Order Intercept (OIP3) value of 44.8 dBm.
本文提出了一种基于耦合器的16W s波段功率放大器设计方案。设计过程涉及到使用功率分裂和组合,以实现高的运行功率。该功率放大器在2.6 GHz时的测量增益为14.37 dB,输出功率为42 dBm,测量功率附加效率(PAE)为48.7%。在线性度方面,该电路的测量输出1-dB压缩点OP1dB为34 dBm,输出三阶截距(OIP3)值为44.8 dBm。
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引用次数: 0
Comparative Evaluation and Analysis of Different Switching Schemes for a Three-Phase Symmetrical Multilevel Inverter with Reduced Switch Count 减少开关数的三相对称多电平逆变器不同开关方案的比较评价与分析
Prateek Kumar Mishra, P. Behera, M. Pattnaik
Nowadays, multilevel inverters (MLIs) are receiving profound attention to cater the power requirements of industry 4.0. In this context, newer MLI topologies are being explored as well as proposed with reduced component counts to attain higher levels of output voltage. In this context, this article illustrates the comparative analysis of sinusoidal pulse width modulation (SPWM) with two different carrier wave and low frequency modulation (LFM) for a 3-phase symmetrical modular multilevel inverter (M-MLI) with reduced component counts. Since, this topography is uncomplicated and modular, it could be extended to several levels by rising the number of cells. The M-MLI topology having 3-levels in each pole with a single fundamental cell in each phase is simulated in MATLAB/Simulink. The %THD of M-MLI using LFM scheme is found less compared to other two techniques which are demonstrated through FFT analysis.
如今,多电平逆变器(mli)正在受到广泛关注,以满足工业4.0的功率要求。在这种情况下,新的MLI拓扑结构正在被探索,并提出了减少元件数量以获得更高水平输出电压的方案。在这种情况下,本文说明了具有两种不同载波的正弦脉宽调制(SPWM)和具有减少分量计数的3相对称模块化多电平逆变器(M-MLI)的低频调制(LFM)的比较分析。由于这种地形不复杂且模块化,因此可以通过增加细胞数量来扩展到几个层次。在MATLAB/Simulink中模拟了每极具有3电平、每相具有单个基元的M-MLI拓扑结构。通过FFT分析发现,与其他两种技术相比,使用LFM方案的M-MLI的%THD较小。
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引用次数: 0
Enhancing Two Dimensional Magnetic Resonance Image Using Generative Adversarial Network 利用生成对抗网络增强二维磁共振图像
Onkar S. Joshi, Amit D. Joshi, S. Sawant
Magnetic Resonance Imaging is often used in medical imaging techniques. The particular magnetic resonance imaging needs to be clear and sharp for precise and effective medical diagnosis. The image quality can be severely harmed by a slight movement in the muscle or the intended area. It is difficult to obtain high-quality scans due to hardware limitations and health risks associated with magnetic resonance imaging radiation. The existing research has shown that the generative adversarial network approach with deep neural networks gives impressive results compared to traditional approaches such as bicubic interpolation. In the proposed methodology, generative adversarial networks is used to improve the resolution and quality of the magnetic resonance imaging. The proposed architecture converts the low-resolution image input to high-resolution image output. Two different neural networks are used in the generative adversarial network i. e., the discriminator and the generator. These two architecture compete against one another to enhance the final output. The high-resolution results are generated by a generator, and the generator's performance is improved by a discriminator.
磁共振成像技术常用于医学成像技术。特殊的磁共振成像需要清晰、清晰,才能进行准确、有效的医学诊断。肌肉或预期区域的轻微运动会严重损害图像质量。由于硬件限制和与磁共振成像辐射相关的健康风险,很难获得高质量的扫描。已有研究表明,与双三次插值等传统方法相比,基于深度神经网络的生成对抗网络方法取得了令人印象深刻的结果。在提出的方法中,生成对抗网络用于提高磁共振成像的分辨率和质量。该架构将低分辨率图像输入转换为高分辨率图像输出。在生成式对抗网络中使用了两种不同的神经网络,即鉴别器和生成器。这两种体系结构相互竞争以增强最终输出。高分辨率结果由发生器产生,并通过鉴别器提高发生器的性能。
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引用次数: 0
Average Current Control of Buck-Boost Converter Buck-Boost变换器的平均电流控制
C. M, Savitha P B
Electric vehicles (EV's) are the promising technology of today's world. Electric vehicles use battery as the primary source of input and batteries are controlled by the help of DC-DC converters. Hence the DC-DC converter modeling and simulation plays a vital role in understanding its dynamics. In this paper, mathematical modeling of a non-ideal asynchornus buck boost converter is modeled using the basic equations of volt-sec and amp-sec balance. The transfer functions of constant voltage $frac{widehat{mathrm{v}_{0}}}{hat{mathrm{d}}}$ for non - ideal asynchronous and synchronous converters are also modeled using State Space averaging (SSA) technique and analyzed using MATLAB software. To validate the obtained Gvd Generalized Circuit averaging technique is used with LTspice simulation tool. Gvd obtained from different control techniques were found to be similar. However, a small variation is found in LT-Spice tool.
电动汽车(EV’s)是当今世界最有前途的技术。电动汽车使用电池作为主要输入源,电池通过DC-DC转换器进行控制。因此,DC-DC变换器的建模与仿真对理解其动力学特性起着至关重要的作用。本文利用伏安秒平衡的基本方程,建立了非理想异步降压升压变换器的数学模型。采用状态空间平均(SSA)技术对非理想异步和同步变流器的恒压传递函数$frac{widehat{mathrm{v}_{0}}}{hat{mathrm{d}}}$进行了建模,并用MATLAB软件进行了分析。为了验证所得到的Gvd广义电路平均技术,使用LTspice仿真工具。从不同的控制技术得到的Gvd是相似的。然而,在LT-Spice工具中发现了一个小的变化。
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引用次数: 0
Enhanced Heat Method for Computation of Geodesic Distance on Triangular Meshes 三角网格测地线距离计算的改进热法
Sudhanshu Rawat, M. Biswas
We have proposed a method based on the heat method for computing geodesic distance on triangular meshes. The heat method is a very efficient and robust method for computing geodesics on many surfaces. The heat method develops a vector unit field having a gradient the same as that of the distance function and integrates this vector field over the surface by solving a Poisson equation which is required to solve two linear sparse equations. The original heat method uses the direct method to solve those linear equations. The proposed method uses a solver consisting of the algebraic multigrid preconditioned conjugate gradient for solving the linear equations to get the geodesic distance. We observed that using an iterative solver reduces the memory footprint and gives us the option to trade-off between performance and accuracy. The result shows that the proposed method needs less time to compute the geodesic distance for bigger mesh and has significantly reduced memory usage for considered mesh data.
提出了一种基于热法的三角网格测地线距离计算方法。热法是计算多种表面测地线的一种非常有效和可靠的方法。热法建立了一个梯度与距离函数相同的矢量单位场,并通过求解两个线性稀疏方程所需的泊松方程在表面上对该矢量场进行积分。原来的热法采用直接法来求解这些线性方程。该方法采用由代数多网格预条件共轭梯度组成的求解器对线性方程组进行求解,得到测地线距离。我们观察到,使用迭代求解器减少了内存占用,并为我们提供了在性能和准确性之间进行权衡的选择。结果表明,该方法在计算较大网格的测地线距离时所需的时间更短,并且大大减少了所考虑的网格数据的内存使用。
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引用次数: 0
S-Band GaN based Power Amplifier with Symmetric Matching Network 基于对称匹配网络的s波段GaN功率放大器
Mohammad Zaid, A. Pampori, R. Dangi, Y. Singh Chauhan
In this letter, we propose an S-Band Power Amplifier based on a symmetric matching network using 10 W CREE GaN devices at 2.6 GHz. The design procedure focuses on choosing the source and load impedances close to each other, so that the matching networks at both the input and the output are symmetric. The advantage of this technique is that the output matching network remains unchanged once the input matching network is implemented. The power amplifier has a measured gain of 15.4 dB at 2.6 GHz, an output power of 38.1 dBm and a measured Power Added Efficiency (PAE) of 46.7 %. The design provides decent linearity with an Output 1-dB compression point (OP1dB) of 31.7 dBm and a Third Order Intercept (TOI) point of 40.8 dBm.
在这封信中,我们提出了一个基于对称匹配网络的s波段功率放大器,使用2.6 GHz的10 W CREE GaN器件。设计过程侧重于选择源阻抗和负载阻抗相互接近,使输入和输出处的匹配网络都是对称的。该技术的优点是,一旦实现了输入匹配网络,输出匹配网络保持不变。该功率放大器在2.6 GHz时的测量增益为15.4 dB,输出功率为38.1 dBm,测量功率附加效率(PAE)为46.7%。该设计提供了良好的线性度,输出1-dB压缩点(OP1dB)为31.7 dBm,三阶截距(TOI)点为40.8 dBm。
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引用次数: 0
期刊
2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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