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2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)最新文献

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A rural autonomous grid delivering quality power to its loads 农村自主电网为其负载提供高质量的电力
A. Banerji, Epsita Das Chakrabarty, T. Biswas, Debanjan Bhattacharya, Abhrodip Chaudhury, Mourya Bhattacharyy, Debraj Saha, S. Biswas, Ayan Banerji, Arpan Banerji
Renewable energy potential in the form of wind or micro hydro are available in abundance at rural locations far away from city habitat. To harness this green energy the rugged induction generator has come up as a viable option. However, induction generator has change in reactive power requirement with change in load. This dynamic reactive power requirement is proposed to be met by a DSTATCOM and thereby achieve voltage regulation, load balancing and harmonic elimination. Further these small generators can provide full benefit to rural customers if they are connected on a grid. An autonomous rural grid with induction generators in parallel is proposed for reliable supply of power and to harness the benefits of the grid. A rural autonomous grid has been simulated in this paper using induction generators and a DSTATCOM on a MATLAB platform and study is made regarding the performance of the rural autonomous grid under linear and nonlinear loads and under varying load conditions.
在远离城市生境的农村地区,风能或微型水力发电的可再生能源潜力丰富。为了利用这种绿色能源,坚固耐用的感应发电机已经成为一种可行的选择。而感应发电机的无功功率需求随着负荷的变化而变化。提出通过DSTATCOM来满足这种动态无功功率需求,从而实现电压调节、负载均衡和谐波消除。此外,如果接入电网,这些小型发电机可以为农村用户提供充分的好处。提出了一种由感应发电机并网的自治农村电网,以保证电力的可靠供应,并充分利用电网的优势。本文在MATLAB平台上利用感应发电机和DSTATCOM对农村自治电网进行了仿真,研究了农村自治电网在线性、非线性负荷和变负荷条件下的性能。
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引用次数: 1
Use of in-hop cooperative relays in trajectory-based forwarding in dense wireless sensor networks 在密集无线传感器网络中基于轨迹的转发中使用跳内协作中继
D. Saha
Source routing techniques like Trajectory Based Forwarding (TBF) are suitable for dense wireless sensor networks (WSNs) due to their low power requirement. Though usual opportunistic coordination adds reliability to TBF, it also increases delay and coordination complexity. Alternatively, this work proposes the use of multiple cooperative relays within every single hop of a trajectory so that two adjacent forwarders do not communicate directly. While minimizing energy consumption further, this novel arrangement ensures an upper bound on delay, which is essential for delay-sensitive mission-critical WSNs. Analytical results show that the use of in-hop relays improves both energy efficiency and robustness.
基于轨迹转发(TBF)等源路由技术由于其低功耗要求而适合于密集无线传感器网络(WSNs)。通常的机会协调虽然增加了TBF的可靠性,但也增加了延迟和协调复杂性。或者,这项工作建议在轨迹的每一跳中使用多个合作中继,这样两个相邻的转发器就不会直接通信。在进一步减少能量消耗的同时,这种新颖的安排确保了延迟的上界,这对于延迟敏感型任务关键型无线传感器网络至关重要。分析结果表明,跳内中继的使用提高了能量效率和鲁棒性。
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引用次数: 0
SCT based deadbeat control in power system stability improvement 基于SCT的无差拍控制在电力系统稳定性改善中的应用
A. Halder, Debasish Mondal
This paper presents the method of design of a nonlinear deadbeat control in order to improve the transient stability of a Single Machine Infinite Bus (SMIB) power system in addition with STATCOM controller. The non-linear model of an SMIB system has been linearized using Feedback linearization technique. A novel approach of design of deadbeat control, known as Signal Correction Technique (SCT) is employed to generate an additional control signal from the dynamics of the system which is incorporated to the original non-linear system through an additional feedback loop. The additional corrected signal modifies the transient oscillations of the output of the test system to a deadbeat output. The performance of the test system with SCT based deadbeat control has been compared with the performance with nonlinear STATCOM controller. It has been observed that the proposed test system with SCT based deadbeat controller produces deadbeat response and improves transient stability significantly than the nonlinear STATCOM controller.
为了提高单机无限总线(SMIB)电力系统的暂态稳定性,本文在STATCOM控制器的基础上,提出了一种非线性无差拍控制器的设计方法。采用反馈线性化技术对SMIB系统的非线性模型进行了线性化处理。采用一种新颖的无差拍控制设计方法,即信号校正技术(SCT),从系统的动力学中产生额外的控制信号,通过附加的反馈回路将其纳入原始非线性系统。附加的校正信号将测试系统输出的瞬态振荡修改为无差拍输出。比较了采用SCT无差拍控制的测试系统与采用非线性STATCOM控制器的测试系统的性能。研究发现,与非线性STATCOM控制器相比,基于SCT的无差拍控制器的测试系统产生无差拍响应,显著提高了暂态稳定性。
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引用次数: 0
Design of a H-infinity robust controller for a DC servo motor system 直流伺服电机系统h -∞鲁棒控制器的设计
Naiwrita Dey, Ujjwal Mondal, Debasish Mondal
This paper presents a mixed sensitivity based design approach of H-infinity controller for a dc servo motor system. Frequency dependent suitable weight functions for sensitivity and complementary sensitivity transfer functionare chosen to design the controller. Synthesis of H-infinity controller is performedusing Robust Control Toolbox in MATLAB. The input output data samplesfor a laboratory based DC servomotor system are takenover a finite duration of time. The SystemIdentification Toolbox in MATLAB has been employed to obtain the plant model from the input output dataset. Fitness of the model is investigated by applying different dataset in order to achieve the best fit model. Time domain performance of the system has been observed to illustrate the effectiveness of the designed controller.
提出了一种基于混合灵敏度的直流伺服电机h -∞控制器设计方法。选择合适的频率相关灵敏度权函数和互补灵敏度传递函数来设计控制器。利用MATLAB中的鲁棒控制工具箱对h -∞控制器进行了综合。基于实验室的直流伺服电机系统的输入输出数据样本在有限的时间内被接管。利用MATLAB中的SystemIdentification Toolbox从输入输出数据集中获取植物模型。通过应用不同的数据集来研究模型的适应度,以获得最优的拟合模型。通过对系统时域性能的观察,验证了所设计控制器的有效性。
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引用次数: 13
A unified approach for parametric robust control of electromagnetic levitation system 电磁悬浮系统参数鲁棒控制的统一方法
P. Sarkar, Ravitesh Kumar, A. Mondal, Subrata Banerjee
This paper proposes a unified approach for robust controller (RC) design for Electro-magnetic Levitation System (EMLS) in delta domain. Dynamic systems modelling with delta operator provides a unified framework in rapprochement between discrete-time dynamic models and its continuous counterpart at fast sampling. This property is utilised to design different classical control schemes such as PI, PD and PID in delta domain for EMLS. Generally, the behaviour of the EMLS is nonlinear and it is unstable in nature. Due to the above properties it is first linearised. The controllers are designed in delta domain such that both the physical systems of EMLS (voltage and current controlled systems) become robust subject to all parameter variations and uncertainties. The simulation results exhibit the usefulness of the proposed controller design methodology.
提出了一种统一的delta域电磁悬浮系统鲁棒控制器设计方法。用delta算子对动态系统进行建模,为离散时间动态模型和连续时间动态模型之间的快速采样提供了一个统一的框架。利用这一特性设计了delta域的PI、PD和PID等经典控制方案。一般来说,EMLS的行为是非线性的,本质上是不稳定的。由于上述性质,它首先是线性化的。控制器设计在delta域中,使得EMLS的物理系统(电压和电流控制系统)对所有参数变化和不确定性都具有鲁棒性。仿真结果表明了所提出的控制器设计方法的有效性。
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引用次数: 1
Mathematical morphology aided enhancement and segmentation of T2-weighted brain MRI images 数学形态学辅助脑MRI t2加权图像的增强和分割
S. Sarkar, D. Dey
Segmentation of the brain MRI into its constituent White Matter (WM), Gray Matter (GM) and Cerebrospinal Fluid (CSF) is a vital task for the diagnosis of various neurological diseases. In this work, mathematical morphology has been employed for contrast enhancement of the brain T2-wighted MRI, followed by segmentation with the help of Fuzzy C-means (FCM) clustering algorithm. The proposed method has resulted in better results, both qualitatively and quantitatively in comparison to the conventional method where FCM is directly applied to the raw MR images.
脑MRI图像分割为白质(WM)、灰质(GM)和脑脊液(CSF)是诊断各种神经系统疾病的重要任务。在这项工作中,数学形态学被用于脑t2加权MRI的对比度增强,然后使用模糊c均值(FCM)聚类算法进行分割。与传统方法相比,该方法在定性和定量上都取得了更好的结果,其中FCM直接应用于原始MR图像。
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引用次数: 3
DWT and BPNN based fault detection, classification and estimation of location of HVAC transmission line 基于DWT和BPNN的暖通输电线路故障检测、分类和位置估计
Binoy Saha, Bikash Patel, P. Bera
The paper presents a technique for detection classification and diagnosis of fault location on overhead transmission lines for different types of fault. Discrete wavelet transform (DWT) has been used for extraction of features of signals of current under faulted condition and back propagation neural network (BPNN) have been used for training the features of current signal for different fault location. It has been found that the coefficients of discrete wavelet transform of fault signal and BPNN satisfactorily detect, classify and locate the fault location.
提出了一种针对架空输电线路不同类型故障的检测、分类和故障定位诊断技术。采用离散小波变换(DWT)提取故障状态下的电流信号特征,采用反向传播神经网络(BPNN)训练不同故障定位的电流信号特征。研究发现,故障信号的离散小波变换系数和BPNN能较好地检测、分类和定位故障位置。
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引用次数: 8
Electric stress analysis of a medium voltage cable termination subjected to standard and non-standard lightning impulse voltages 标准和非标准雷电冲击电压作用下中压电缆终端的电应力分析
S. Bhattacharyya, A. Chakraborty, B. Saha, S. Chatterjee
In the present work, electric stress analysis is performed on a MV cable termination subjected to transient electric stresses. It is well known that stress cone is used in cable joints and terminations to relief electric stresses at the junction point of insulation and conductor screen. The high electric stress near the screen-cut zone may lead to tracking, partial discharge etc. which eventually jeopardize the operation of a power cable affecting its long-term performance. Moreover, a power cable during its period of operation is subjected to different transient electric stresses in the form of standard and non-standard lightning impulse voltages. Therefore, in this contribution, a comprehensive study of transient electric stresses of a medium voltage cable termination is performed by applying different standard and non standard lightning impulse voltages. For this purpose, a 11kV cable termination is modeled in Comsol Multiphysics Software. The transient electric field analysis is performed using Finite Element method. The stress cone deflector angle and the relative permittivity of the deflector material is also varied to obtain a best possible design that minimizes the electric stress at the insulation-screen junction of a cable termination under the application of impulse voltage stresses.
本文对中压电缆端部在瞬态电应力作用下的电应力进行了分析。众所周知,应力锥用于电缆接头和终端,以消除绝缘和导体屏交界处的电应力。截屏区附近的高电应力可能导致跟踪、局部放电等,最终危及电力电缆的运行,影响其长期性能。此外,电力电缆在运行过程中会受到标准和非标准雷电冲击电压形式不同的暂态电应力。因此,在本贡献中,通过应用不同的标准和非标准雷击电压,对中压电缆终端的瞬态电应力进行了全面的研究。为此,在Comsol Multiphysics Software中对11kV电缆终端进行了建模。采用有限元法对其瞬态电场进行了分析。应力锥偏转角和偏转材料的相对介电常数也会发生变化,以获得在脉冲电压应力作用下电缆终端绝缘屏连接处的电应力最小化的最佳设计。
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引用次数: 8
FPGA implementation of Saliency based secured watermarking framework 基于显著性的安全水印框架的FPGA实现
A. Basu, Ankita Chatterjee, Soumita Datta, Sudeep Sarkar, Ranit Karmakar
In this paper authors proposed a secured Digital Biometric based watermarking algorithm and its hardware realization by means of Field Programmable Gate Array (FPGA). The scheme focuses on the Graph Based Visual Saliency (GBVS) technique. Biometric watermarking has been introduced for validity and ultimate security of a digital media. Biometric information which is basically fingerprint is being hidden in a cover image in an efficient way such that the quality of the original information is not corrupted. The result of imperceptibility is promising; moreover several attacks were made to prove the robustness of this technique. The hardware implementation of this algorithm is provided to validate this scheme.
提出了一种基于数字生物特征的安全水印算法,并利用现场可编程门阵列(FPGA)实现了该算法的硬件实现。该方案的重点是基于图形的视觉显著性(GBVS)技术。为了数字媒体的有效性和最终安全性,引入了生物特征水印。以指纹为主的生物特征信息被有效地隐藏在封面图像中,使原始信息的质量不受影响。不被察觉的结果是有希望的;通过实例验证了该方法的鲁棒性。给出了该算法的硬件实现,验证了该算法的有效性。
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引用次数: 3
A novel approach to classify edible oil using multiple classifier fusion based on spectral data 基于光谱数据的多分类器融合食用油分类新方法
Shiladitya Saha, S. Saha
The paper investigates the discrimination ability of the short-wave near-infrared spectroscopy for the classification of various edible oils used in India. Spectral characterization of mustard, olive, rice bran, sunflower and soybean oils are recorded by a portable near infrared (NIR) spectrometer in the range of 250–925 nm of wavelength. Due to high dimensionality problem, principal component analysis (PCA) is used here for extracting only the significant features from the near infrared spectra. Hidden clusters in the dataset are identified by applying the principal component analysis (PCA). For classification purpose multilayer perceptron (MLP) and support vector machine (SVM) are used in this work. Moreover, classifier fusion strategy using Dempster Shafer Evidence Theory is implemented to increase the prediction accuracy. The results clearly indicate the efficacy of multiple classifier fusion technique when applied to near infrared spectrometry data for edible oil classification.
本文研究了短波近红外光谱对印度各种食用油分类的判别能力。用便携式近红外光谱仪在250 ~ 925 nm波长范围内记录了芥菜油、橄榄油、米糠油、葵花籽油和大豆油的光谱特征。由于近红外光谱的高维问题,本文采用主成分分析(PCA)方法,只提取近红外光谱中的重要特征。应用主成分分析(PCA)识别数据集中的隐藏聚类。本文采用多层感知机(MLP)和支持向量机(SVM)进行分类。采用Dempster Shafer证据理论实现分类器融合策略,提高预测精度。结果表明,多分类器融合技术在近红外光谱数据中用于食用油分类的有效性。
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引用次数: 2
期刊
2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)
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