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2017 International Conference on Electrical and Information Technologies (ICEIT)最新文献

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Image moments and reconstruction by Krawtchouk via Clenshaw's reccurence formula 克劳楚克利用克伦肖递归公式重建图像矩
Pub Date : 2017-11-01 DOI: 10.1109/EITECH.2017.8255265
Tarik Jahid, H. Karmouni, A. Hmimid, M. Sayyouri, H. Qjidaa
The purpose of this paper is to compare two methods of computation of image moments and its inverse, the first is the common recursive method based on Krawtchouk polynomials with respect to x, the second is based on Krawtchouk basis and Clenshaw's formula. This paper in a first time will define these methods and in the second time will evaluate these methods and compare it to each other. We finally prove the accuracy of the proposed method in term of time consumed.
本文的目的是比较图像矩及其逆的两种计算方法,第一种是基于关于x的Krawtchouk多项式的常见递归方法,第二种是基于Krawtchouk基和Clenshaw公式的递归方法。本文首先对这些方法进行了定义,然后对这些方法进行了评价和比较。最后从耗时的角度证明了所提方法的准确性。
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引用次数: 16
A multi-modelling approach and optimal control of greenhouse climate 温室气候多模型方法与最优控制
Pub Date : 2017-11-01 DOI: 10.1109/EITECH.2017.8255258
M. Ayoub, Bennis Najib
The objective of greenhouse climate control is to improve the culture development and to minimize the production costs. In this paper, we propose a comparison between two approaches to modelling and control greenhouse's inside climate. This one is defined by internal temperature and hygrometry. The classical approach is based on a single linear model to describe the dynamic of greenhouse internal climate and using a strategy control to regulate the microclimate inside the greenhouse. The multi-modelling approach aims to reduce the complexity of the system in terms of variables to take into account in modelling and controllers design. Therefore, we have developed two linear models for representing the greenhouse inside climate in two different durations. Those diurnal and nocturnal phases. For the control of greenhouse inside climate based on finite-horizon optimal control, we present two methods. The first one is a classical method and consists of controlling the internal climate by using a single controller for all days. The other one is based on two models and two controllers for nocturnal and diurnal phases. For the needs of simulation purpose, we have used a nonlinear model to describe more effectively the behavior of greenhouse dynamic climate. A successful feasibility study of the proposed controller is presented and simulation results show good performances despite the high interaction between the process internal and external variables. The comparison results confirm the superiority of a multi-modelling approach.
温室气候控制的目标是促进栽培发展和降低生产成本。本文对两种模拟和控制温室内部气候的方法进行了比较。这是由内部温度和湿度测定法定义的。经典的方法是基于单一线性模型来描述温室内部气候的动态,并使用策略控制来调节温室内部的小气候。多建模方法旨在降低系统在建模和控制器设计中需要考虑的变量方面的复杂性。因此,我们开发了两个线性模型来表示两个不同持续时间的温室内气候。昼和夜的阶段。对于温室室内气候的有限水平最优控制,提出了两种方法。第一种是经典的方法,通过使用一个控制器全天控制内部气候。另一个是基于两个模型和两个控制器的夜间和日间阶段。为了模拟的需要,我们采用非线性模型来更有效地描述温室动态气候的行为。对所提出的控制器进行了成功的可行性研究,仿真结果表明,尽管过程内外变量之间存在较高的相互作用,但控制器仍具有良好的性能。对比结果证实了多模型方法的优越性。
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引用次数: 2
A distance reduction approach for simple plant location problem 简单植物定位问题的一种距离缩减方法
Pub Date : 2017-11-01 DOI: 10.1109/EITECH.2017.8255295
S. Amar, A. Abouabdellah, Y. E. Ouazzani
In this paper a single workspace location problem in a polygonal area V is considered. Our objective is to locate a workspace facility so as to minimize the total distance between the facility, the customers and the suppliers. Our approach is based on the consideration of the distance and the importance factor of each customer and supplier. We used the A-distance measurement and the aggregation method theories to represent the real travelled distance in the mathematical modeling. The aim of the study is to determine the workspace location coordinates in the V area.
本文研究了多边形区域V上的单个工作空间定位问题。我们的目标是找到一个工作空间设施,以尽量减少设施,客户和供应商之间的总距离。我们的方法是基于对每个客户和供应商的距离和重要性因素的考虑。在数学建模中,我们采用a -距离测量法和聚集法理论来表示实际行驶距离。研究的目的是确定工作空间在V区域的位置坐标。
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引用次数: 3
FPGA-based system for the road signs detection 基于fpga的道路标志检测系统
Pub Date : 2017-11-01 DOI: 10.1109/EITECH.2017.8255240
H. H. Mouane, R. Allaoui, S. Mars, I. El Hajjouji, Z. Asrih, A. El mourabit, A. Ezzine
We present an FPGA-based system for road signs detection. Using monocular vision, our system consists of two main steps: color segmentation and shapes detection using Hough transform. High level synthesis tool system generator from Xilinx was used to implement the architecture. Co-simulation results show the functionality of the system.
提出了一种基于fpga的道路标志检测系统。利用单目视觉,我们的系统包括两个主要步骤:颜色分割和使用霍夫变换的形状检测。采用Xilinx的高级综合工具系统生成器来实现该体系结构。联合仿真结果显示了系统的功能。
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引用次数: 1
Nonlinear control of the web winding system by backstepping with integral action 带积分作用的反步卷绕系统非线性控制
Pub Date : 2017-11-01 DOI: 10.1109/EITECH.2017.8255223
Abdelmajid Akil, M. Zegrari, N. Rabbah
The Web Winding System (WWS) knows several constraints such as the thermal effects caused by the frictions, and the mechanical effects provoked by metal elongation, that generates dysfunctions due to the influence of the process conditions. A major objective in the web winding system control design is: •To obtain a precise thickness, with the best possible regularity when a sudden constraints occurs. •To achieve stable rolling and ensure strip quality. This work presents the conception of a new law of nonlinear control of the WWS. This is the Backstepping method with introduction of integral actions. Furthermore, the simulation under the Matlab/Simulink software allows the highlighting performance of the control strategy adopted.
卷筒纸卷绕系统(WWS)知道一些限制,如摩擦引起的热效应,以及金属伸长引起的机械效应,由于工艺条件的影响而产生功能障碍。卷筒纸卷绕系统控制设计的一个主要目标是:•在突然约束发生时获得精确的厚度,并具有最佳的规律性。•稳定轧制,确保带材质量。本文提出了一种新的WWS非线性控制律的概念。这是引入积分动作的退步法。此外,在Matlab/Simulink软件下进行仿真,可以突出所采用的控制策略的性能。
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引用次数: 7
Adaptive backstepping control of grid-connected doubly-fed induction generator during grid voltage dip 并网双馈感应发电机在电网电压下降时的自适应反步控制
Pub Date : 2017-11-01 DOI: 10.1109/EITECH.2017.8255267
O. Adekanle, M. Guisser, E. Abdelmounim, M. Aboulfatah
The most significant drawback of the grid-connected Doubly-Fed Induction Generator is its susceptibility to grid fault due to its stator windings being directly connected to the grid. The stator and rotor of the DFIG are electromagnetically coupled; therefore, the resulting stator current surge during low voltage dip provokes inrush current at the delicate back-to-back converters and an overcharge of the DC-link capacitor. When rotor current and DC-link voltage increase above their predefined Save Operating Zone (SOZ), rotor converters are damaged and active-reactive power control is consequently lost even after the fault is cleared. In this paper, a robust nonlinear disturbance rejection controller, under the context of Lyapunov stability theory, is first employed to control the Rotor and Grid Side Power Converters under normal grid conditions. Under grid fault, the nonlinear controller is then coupled with active crowbar and DC chopper protection schemes to ameliorate the performance of the DFIG system to ride through fault. Simulation of a 1.5MW wound rotor induction generator under MATLAB/SIMULINK is carried out using the PI-controller (PIC) and Adaptive Backstepping Controller (ABC).
并网双馈感应发电机的最大缺点是其定子绕组直接与电网相连,易受电网故障的影响。DFIG的定子和转子是电磁耦合的;因此,在低电压下降期间产生的定子电流浪涌会在精密的背靠背转换器和直流链路电容器的过充电处引发浪涌电流。当转子电流和直流电压超过其预定的保存操作区域(SOZ)时,转子变流器损坏,因此即使在故障清除后也失去了有功功率控制。本文首先在李雅普诺夫稳定性理论的基础上,提出了一种鲁棒非线性抗扰控制器,用于正常电网条件下转子和电网侧变流器的控制。在电网故障情况下,将非线性控制器与有源撬棍和直流斩波保护方案相结合,改善了DFIG系统的穿越故障性能。采用pi控制器(PIC)和自适应反步控制器(ABC),在MATLAB/SIMULINK环境下对一台1.5MW绕线转子感应发电机进行了仿真。
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引用次数: 1
A clonal selection algorithm for the electro encephalography signals reconstruction 脑电信号重建的克隆选择算法
Pub Date : 2017-11-01 DOI: 10.1109/EITECH.2017.8255304
A. Loukdache, Mohamed Amine El Majdouli, Saad Bougrine, A. Imrani
This paper describes an adaptation of the Clonal Selection Algorithm for the single objective Big Optimization problem “Big-Opt”. Indeed, the electroencephalography “EEG” signals are very sensitive to noising effects of artifacts caused by undesirable internal and external electric sources. the main purpose of the Big-OPT problem is to rebuild the recorded signals in the goal of removing the artifacts as maximum as possible. To this end, an optimization problem is defined. To solve it, a modified search strategy is studied and adapted for the Clonal Selection Algorithm in order to enhance its convergence abilities on large scale optimization. To test the performance of the proposed method, experiments have been conducted over the Big-OPT EEG datasets. A comparison with recent state of the art approaches is also included. The study exhibits the competitive performance of the proposed Clonal Selection Algorithm.
本文描述了对单目标大优化问题“Big- opt”的克隆选择算法的一种改进。事实上,脑电图“EEG”信号对由不理想的内部和外部电源引起的人工制品的噪声效应非常敏感。Big-OPT问题的主要目的是重建记录的信号,以尽可能多地去除伪影。为此,定义了一个优化问题。为了解决这一问题,研究了一种改进的克隆选择算法的搜索策略,提高了克隆选择算法在大规模优化中的收敛能力。为了验证该方法的性能,在Big-OPT EEG数据集上进行了实验。还包括与最近最先进的方法的比较。研究显示了所提出的克隆选择算法的竞争性能。
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引用次数: 5
Biogeography based optimization for distributed CFAR detection in Pareto clutter 基于生物地理学的Pareto杂波分布式CFAR检测优化
Pub Date : 2017-11-01 DOI: 10.1109/EITECH.2017.8255256
Khaled Zebiri, F. Soltani, A. Mezache, A. Bentoumi
Performance analysis of distributed GM-CFAR (Geometric Mean-CFAR) and OS-CFAR (Order Statistic-CFAR) detectors in a Pareto clutter is presented in this work. Because of the nonlinear property of this multidimensional system, the biogeography based optimization (BBO) algorithm is used to obtain optimal thresholds of local detectors. Each CFAR detector takes its own decision and sends it to the fusion center to obtain a final binary decision according to a preselected fusion rule. Optimization requirements of the distributed system are improved using a new expression in integral form of the detection probability. Via computer simulations, the detection performances are investigated in terms of clutter and system parameters for both homogeneous and heterogeneous Pareto backgrounds.
本文对分布式GM-CFAR (Geometric Mean-CFAR)和OS-CFAR (Order statistics - cfar)检测器在Pareto杂波中的性能进行了分析。针对该多维系统的非线性特性,采用基于生物地理的优化算法求解局部检测器的最优阈值。每个CFAR探测器都有自己的决策,并将其发送到融合中心,根据预先选择的融合规则获得最终的二进制决策。采用一种新的检测概率积分表达式,改进了分布式系统的优化要求。通过计算机仿真,研究了均匀和非均匀帕累托背景下杂波和系统参数的检测性能。
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引用次数: 1
Selection of mother wavelets for analyzing bearing vibration signals 轴承振动信号母小波的选择
Pub Date : 2017-11-01 DOI: 10.1109/EITECH.2017.8255230
F. Sloukia, A. Bybi, Hilal Drissi
Ball bearings are critical components in rotating machines and the prognosis of their health state is an important policy that increases reliability, availability and safety while minimizing costs. Wavelet Packet Decomposition (WPD) is a widely used method for the analysis of vibratory signals since it allows decomposing them in time and frequency domains. The choice of the analyzing wavelet and its order is an important step that affects the estimation of the Remaining Useful Life (RUL). In this paper, we compared several types of wavelets in order to choose the most suitable for predicting the RUL of the bearings. The utilized selection criteria were the Minimum Shannon Entropy Criteria (MSEC) and Maximum Energy to Shannon Entropy Ratio criteria (MEER). The tests were carried out on several bearings under different conditions where horizontal and vertical accelerations are measured.
滚珠轴承是旋转机械中的关键部件,对其健康状态进行预测是提高可靠性、可用性和安全性,同时将成本降至最低的重要策略。小波包分解(WPD)是一种广泛应用于振动信号分析的方法,它允许在时域和频域对振动信号进行分解。分析小波的选择及其顺序是影响剩余使用寿命估计的重要步骤。在本文中,我们比较了几种类型的小波,以选择最适合预测轴承RUL的小波。选取标准为最小香农熵标准(MSEC)和最大能量与香农熵比标准(MEER)。在不同条件下对几个轴承进行了测试,测量了水平和垂直加速度。
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引用次数: 1
Smart topology of EVs in a PV-grid system based charging station 基于充电站的光伏并网系统电动汽车智能拓扑
Pub Date : 2017-11-01 DOI: 10.1109/EITECH.2017.8255314
A. Hassoune, M. Khafallah, A. Mesbahi, T. Bouragba
This work focuses on a smart algorithm to optimize energy of electric vehicles charging station while considering numerous constraints as the instability of renewable energy sources and the potential limited power given by the grid. The PV array is considered as a basic source of energy to feed the charging station system, directly tied into a voltage DC bus, thus the lithium-ion battery is implemented in this platform to complete the power flow of each potential charging scenario. Moreover, the management algorithm is taking into account the fluctuant power state of both the DC and the AC bus link, and it treats also the state of charge of the batteries in the energy management approach.
本文在考虑可再生能源不稳定性和电网潜在限电等诸多约束条件的情况下,研究了一种优化电动汽车充电站能量的智能算法。光伏阵列被认为是充电站系统的基本能量来源,直接连接到电压直流母线上,因此锂离子电池在该平台上实现,以完成每个潜在充电场景的功率流。此外,该管理算法同时考虑了直流和交流母线链路的功率波动状态,并在能量管理方法中考虑了电池的充电状态。
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引用次数: 13
期刊
2017 International Conference on Electrical and Information Technologies (ICEIT)
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