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2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)最新文献

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Analysis of Operation of Sensorless Brushless DC Motor Using Zero Crossing Point Algorithm 零交叉点算法分析无传感器直流无刷电机的运行
Manasi Patro
This paper presents zero crossing point detection of motor back EMF of the sensorless brushless direct current motor (BLDC). The back EMF of motor is taken into consideration and measured according to zero crossing point (ZCP) detection along with Park's transformation algorithm. The speed control performance observed using a PID controller. The PMs used in BLDC have provided different rotor positions which determine the commutation sequence of semiconductors used in Inverter Bridge. The power devices are commutated sequentially for every 60 seconds depending on the rotor positions. In order to get linear performance and low-cost stable operation here a sensorless method is proposed. The whole performance is simulated in MA TLAB Simulink and results are analyzed.
本文介绍了无传感器无刷直流电机(BLDC)电机反电动势的过零点检测。考虑电机的反电动势,根据零点交叉点(ZCP)检测和Park变换算法进行测量。使用PID控制器观察速度控制性能。无刷直流中使用的永磁电机提供了不同的转子位置,这决定了逆变器桥中所用半导体的换相顺序。根据转子位置,功率器件每60秒依次换向。为了获得线性性能和低成本的稳定运行,本文提出了一种无传感器的方法。在MA TLAB Simulink中对其整体性能进行了仿真,并对仿真结果进行了分析。
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引用次数: 0
Design and Kinematic Analysis of a 6-DOF Asymmetric Parallel Robot Manipulator with 4-SPS and 2-CPS Type Legs 4-SPS - 2-CPS型六自由度非对称并联机器人机械手的设计与运动学分析
Metin Toz
This paper presents the design, inverse kinematic, Jacobian and workspace analysis of a six Degrees of Freedom (6-DOF) asymmetric parallel robot manipulator. The manipulator was designed by two CPS and four SPS type legs (C: passive cylindrical joint, P: active prismatic joint, S: passive spherical joint). The mechanism includes two passive cylindrical joints at the lower ends of its two legs instead of the spherical joints as in its symmetrical counterparts. Thus, the asymmetry of the mechanism is because of the two cylindrical joints. The basic mathematical formulations for inverse kinematic and Jacobian matrix analyses are given, and the effects of the cylindrical joints on the reachable workspace of the mechanism are presented. Moreover, the dextrous translational workspace of the mechanism is also obtained and compared by the workspace of the classic symmetrical six DOF SPS parallel manipulator. The results show that using cylindrical joints make the mechanism has better workspace characteristics than the classical one.
介绍了一种六自由度非对称并联机器人的设计、运动学逆解、雅可比矩阵和工作空间分析。该机械手由2个CPS型腿和4个SPS型腿(C:被动圆柱关节,P:主动移动关节,S:被动球面关节)组成。该机构在其两条腿的下端包括两个被动圆柱形关节,而不是其对称对应物中的球形关节。因此,机构的不对称是由于两个圆柱形关节。给出了机构运动学逆分析和雅可比矩阵分析的基本数学表达式,并给出了圆柱关节对机构可达工作空间的影响。此外,还得到了机构的灵巧平移工作空间,并与经典对称六自由度SPS并联机器人的工作空间进行了比较。结果表明,采用圆柱关节使机构具有比传统机构更好的工作空间特性。
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引用次数: 1
Islanding Detection with Empirical Mode Decomposition and Random Subspace Oriented Kth Nearest Neighbour 基于经验模态分解和面向第k近邻的随机子空间孤岛检测
Sairam Mishra, R. Mallick, D. A. Gadanayak
In the recent past, introduction of renewable energy resources (RERs) as an alternative to conventional power production has increased the penetration of Distributed Generators (DGs) to the existing power system. While resolving the issue of inadequate power delivery, the independency of DGs' put forward another worry in front called unintentional islanding. In this context, the proposed work is willful for a solid inclusion to the contemporary literatures based on detection of non-intentional islanding. A novel application of empirical mode decomposition (EMD) along with random subspace oriented kth-nearest neighbour (RSOKNN) is suggested to identify the unintentional islanding problem. At first, the voltage signal is collected from the PCC of the studied model and undergone mode decomposition process to extract five different features. Secondly, the RSOKNN machine learning model is utilized for efficient islanding identification. The proposed method is verified under ideal and noisy condition as well as compared to other competitive classifiers to determine the supremacy.
在最近的过去,可再生能源(rs)作为传统电力生产的替代方案的引入,增加了分布式发电机(dg)对现有电力系统的渗透。在解决电力输送不足问题的同时,dg的独立性也在眼前提出了另一个隐忧——“无意孤岛”。在这种情况下,提出的工作是有意为坚实的包含到基于检测非故意孤岛的当代文献。提出了一种新的应用经验模态分解(EMD)和随机子空间面向第k近邻(RSOKNN)来识别非故意孤岛问题。首先,从所研究模型的PCC中采集电压信号,进行模态分解,提取出5个不同的特征;其次,利用RSOKNN机器学习模型进行有效的孤岛识别。在理想条件和噪声条件下对该方法进行了验证,并与其他竞争分类器进行了比较,以确定其优越性。
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引用次数: 1
Review of Blockchain-Based Energy Trading Models 基于区块链的能源交易模型综述
P. Sharma, RUDRANARAYAN SENAPATI, A. Swetapadma
Renewable energies (REs) are trending as the technology to improve its efficacy moving at a fast pace. REs has been utilized in many domestic and industrial premises as a surplus energy. Trading of this surplus energy within a local market scenario, can help in meeting the demand requirements and can outlook a new scope of energy trading. This requires high security and transparency among the stake holders. Among various technologies, blockchain can be proved as a promising platform for a secure and transparent transaction. This paper comprises an extensive review of different blockchain based energy trading model and discusses various research scopes for mitigating of certain issues with ongoing research models to gain higher efficiency.
随着提高可再生能源效率的技术快速发展,可再生能源正成为一种趋势。可再生能源已在许多家庭和工业场所用作剩余能源。在本地市场交易这些过剩能源,可以帮助满足需求,并可以展望能源交易的新领域。这需要利益相关者之间的高度安全性和透明度。在各种技术中,区块链可以被证明是一个安全透明的交易平台。本文对不同的基于区块链的能源交易模型进行了广泛的回顾,并讨论了各种研究范围,以减轻正在进行的研究模型中的某些问题,以获得更高的效率。
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引用次数: 4
Analysis of Type-2 Fuzzy Recurrent Wavelet Neural Network to Identify Non-linear dynamic System 二类模糊递归小波神经网络辨识非线性动态系统的分析
D. Samal, Santosh K. Padhy, Laxmipriya Samal, H. Palo, B. Sahu
This piece of work proposes a novel Type-2Fuzzy Recurrent Wavelet Neural Network (T2FWNN) to estimate the nonlinear systems. Such analysis facilitates to solve several realworld issues such as control and power system design and development, industrial sectors, broadband networks, etc. An extensive investigation of the nonlinear systems has been carried out to test the performance of the proposed T2FWNN model in estimating non-linear systems. The networks have been compared in terms of the error parameters, rate of convergence, and computational complexity. The novel structure has been shown to outperform other conventional techniques in modelling non-linear systems. It has witnessed a better convergence, low error, and faster response as revealed from our results.
本文提出了一种新的2型模糊递归小波神经网络(T2FWNN)来估计非线性系统。这种分析有助于解决几个现实世界的问题,如控制和电力系统的设计和开发,工业部门,宽带网络等。对非线性系统进行了广泛的研究,以测试所提出的T2FWNN模型在估计非线性系统方面的性能。在误差参数、收敛速度和计算复杂度方面对网络进行了比较。在非线性系统建模方面,这种新型结构已被证明优于其他传统技术。结果表明,该方法收敛性好,误差小,响应速度快。
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引用次数: 1
VSC based HVDC Transmission System using Adaptive FPI Controller 基于自适应FPI控制器的VSC直流输电系统
S. S. Biswal, D. Swain, P. Rout
High Voltage DC (HVDC) is an established technology in the power sector for the past few decades and also needs to be a vital tool in the design of future smart and microgrid scenarios. However, the control strategy of Voltage Source Converter (VSC) based HVDC needs to be established for its better operational performance. This paper presents a novel Adaptive Fractional Order PI (AFPI) based controller against the conventional PI controller to enhance the stability with better damping of oscillations. The parameters of the FPI have a critical influence on the performance of the controller and to set it optimally Teaching-Learning based Optimizer (TLBO) is suggested. Detailed modeling and design of LCL filters are presented with frequency domain analysis. Comparative results for the proposed approach are illustrated under different conditions to justify its improved performance and robustness with better stability.
高压直流(HVDC)是过去几十年来电力行业的一项成熟技术,也需要成为未来智能和微电网方案设计的重要工具。然而,基于电压源变换器(VSC)的高压直流输电系统要想获得更好的运行性能,还需要建立相应的控制策略。针对传统的分数阶PI控制器,提出了一种基于自适应分数阶PI (Adaptive Fractional Order PI, AFPI)的控制器,以提高系统的稳定性和更好的振荡阻尼。FPI的参数对控制器的性能有重要影响,建议采用基于教学的优化器(TLBO)对其进行最优设置。利用频域分析方法对LCL滤波器进行了详细的建模和设计。在不同条件下的对比结果表明,该方法具有更好的稳定性和鲁棒性。
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引用次数: 1
Hexagonal Spiral Photonic Crystal Fiber 六方螺旋光子晶体光纤
Arshiya Aggarwal, Rohan Gupta, A. Saharia, M. Tiwari
We discuss about a photonic crystal fiber in a hexagonal spiral (HS-PCF) design that is numerically investigated for confinement loss, dispersion, and nonlinearity. We also discuss the fabrication of fiber and the numerical analysis conducted. The fiber analyzed operates at a wavelength of 1550 nm and exhibits the dispersion of about 35 ps/km/nm and non-linearity of 2 $W^-1km^−1$ The properties exhibited suggest that HS-PCF design could be used for the efficient transmission of optical signals.1
我们讨论了一种六方螺旋光子晶体光纤(HS-PCF),并对其约束损耗、色散和非线性进行了数值研究。讨论了光纤的制备方法,并进行了数值分析。所分析的光纤工作波长为1550 nm,色散约为35 ps/km/nm,非线性为2 $W^-1km^−1$,表明HS-PCF设计可用于光信号的高效传输
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引用次数: 0
Optimal Dispatch of a Hybrid Renewable Energy System Using Modified PSO Algorithm 基于改进粒子群算法的混合可再生能源系统优化调度
Subrat Bhol, N. C. Sahu, A. Nanda
Hybrid power system is expected to be major part of next electricity revolution for supplying power to remote areas where the grid power supply is almost impossible in term of cost and geographical location. Distributed hybrid renewable energy power system could afford power supply to these areas under grid and off grid connections. Here in this paper attention has given to minimize the price of generation system integrating the renewable energy sources with the existing power supply system. A solar PV, wind hybrid system with thermal power generation has been considered for economical dispatch of power. A modified Particle swarm optimization (MPSO) method has been applied to minimize the cost of power generation. This algorithm proves highly efficient for the dispatch problems. The main intention of this paper is not only to reduce the price but also the best use of renewable sources locally available, so that the carbon emission and global warming can be controlled.
混合电力系统有望成为下一次电力革命的重要组成部分,为偏远地区提供电力,这些地区在成本和地理位置方面几乎不可能获得电网供电。分布式混合可再生能源电力系统可以为这些地区的并网和离网供电。本文关注的是可再生能源与现有供电系统相结合的发电系统价格的最小化问题。考虑了太阳能光伏、风能和火电混合发电系统的经济调度问题。提出了一种改进的粒子群优化(MPSO)方法,使发电成本最小化。该算法对调度问题具有很高的求解效率。本文的主要意图不仅是降低价格,而且是最好地利用当地可用的可再生能源,从而控制碳排放和全球变暖。
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引用次数: 0
Synthesis and characterization of lead-free sodium doped bismuth titanate 无铅掺钠钛酸铋的合成与表征
R. Parida, B. Parida, S. Mishra, S. Parida
In this communication, the convenient solid state technique had been adopted for the preparation of sodium doped bismuth titanate (Bi0.5Na0.5TiO3) ceramic sample in a specified temperature. The classified sample has been found to be possessed a rhombohedral structure as obtained from the XRD analysis having a space group of R-3c (#167). Na dopants in the host bismuth titanate (BTO) are about 53.4 nm and 0.503 %, which being confirmed from the crystalline size of the ceramic sample and lattice strain at microscopic level. The transport properties studied through non-destructive impedance spectroscopy analysis thus revealing the non-Debye as well as the prepared sample confirms negative temperature coefficient resistance (NTCR) behaviour. The thermally activated ac conductivity depicts the activation energy which rises from 10.2 meV to 129.1 meV with simultaneous increase of temperature. The oxygen vacancies and defects leads to conduction mechanism in the thermally activated sample which enables the transport behaviour due to immobile charge carriers. The formation of the asymmetric curves while analysing modulus part of the sample confirm non-Debye conductivity behaviour. The formation of semi-circular arcs in Nyquist as well as Cole-Cole plots suggests the semiconducting nature of the synthesized sample. These materials are useful for sensors, actuators and energy storage devices.
在本通讯中,采用方便的固态技术,在特定温度下制备了掺钠钛酸铋(Bi0.5Na0.5TiO3)陶瓷样品。通过XRD分析发现该分类样品具有菱形结构,其空间群为R-3c(#167)。钛酸铋(BTO)中Na掺杂量约为53.4 nm和0.503%,从陶瓷样品的晶粒尺寸和晶格应变的微观水平上证实了这一点。通过非破坏性阻抗谱分析研究了输运性质,从而揭示了非德拜以及制备的样品证实了负温度系数电阻(NTCR)行为。热活化的交流电导率描述了活化能随温度的升高从10.2 meV上升到129.1 meV。氧的空缺和缺陷导致热活化样品中的传导机制,使由于不移动的电荷载流子的传输行为成为可能。在分析样品模量部分时形成的不对称曲线证实了非德拜电导率行为。在奈奎斯特图和科尔-科尔图中形成的半圆弧表明合成样品的半导体性质。这些材料可用于传感器、执行器和储能装置。
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引用次数: 1
A Comprehensive Survey on Active Power Filters: Classifications, Issues and Future Trends 有源电力滤波器的综合调查:分类、问题和未来趋势
S. Choudhury, Devi Prasad Acharya, N. Nayak
Recently, power quality conditioning has become a vital concern due to enhanced harmonic pollution levels in the electrical power system. Numerous filtering techniques such as active and passive filtering of electric power have been developed. Active Power Filters (APF) are mostly adopted over passive filters. It possesses several merits, such as being nonresonant with the system's impedance, lighter in weight, compact size, non-sensitive to system parameter changes, etc. Moreover, AF is a matured technology for voltage stability and reactive power control at the transmission ends. In this regard, this research paper attempts a comprehensive review of state-of-art classifications and applications of APFs. Further deep insight towards the issues faced by APFs and their possible solutions in the future for hassle-free implementation have also been projected.
近年来,由于电力系统中谐波污染的加剧,电能质量调节已成为人们关注的重要问题。电力的有源滤波和无源滤波等多种滤波技术得到了发展。有源电力滤波器(APF)多用于无源滤波器。它具有与系统阻抗不共振、重量轻、体积小、对系统参数变化不敏感等优点。此外,AF是一种成熟的输电端电压稳定和无功控制技术。在这方面,本文试图对APFs的分类和应用现状进行全面的综述。还预测了对apf面临的问题及其未来顺利实施的可能解决方案的进一步深入了解。
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引用次数: 3
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2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)
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