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2017 6th International Conference on Systems and Control (ICSC)最新文献

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P&O or IC for PV pumping system: What MPPT algorithm to improve performances? 光伏泵系统的P&O或IC:哪种MPPT算法可以提高性能?
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958724
A. Harrag, Abdessalem Titraoui, H. Bahri
This paper discusses the performance improvement of photovoltaic water pumping system using both P&O and IC MPPT controllers. The efficiency of both proposed MPPT controller has been studied successfully using a DC motor-pump powered by thirty six PV modules fed by DC-DC boost converter controlled using both P&O as well as IC MPPT algorithms. Comparative study results obtained using Matlab/Simulink environment show that the IC outperforms the P&O method in term of convergence speed; while the P&O method presents better performance for the steady state oscillation in case of high level insolation. In case of low level insolation (point C), the steady state oscillations around the MPP point are less in IC compared to those in P&O algorithm.
本文讨论了采用P&O和IC MPPT两种控制器对光伏水泵系统的性能改进。采用采用P&O和IC MPPT算法控制的DC-DC升压转换器驱动的36个光伏模块驱动的直流电机泵,成功地研究了这两种MPPT控制器的效率。在Matlab/Simulink环境下的对比研究结果表明,该集成电路在收敛速度上优于P&O方法;而P&O法在高日照条件下对稳态振荡有较好的处理效果。在低日照(C点)情况下,IC算法在MPP点附近的稳态振荡比P&O算法少。
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引用次数: 16
A hierarchical control for flexible single-phase microgrid based on parallel VSIs 基于并联vsi的柔性单相微电网分层控制
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958698
Islam Ziouani, D. Boukhetala, A. Darcherif, B. Amghar, I. E. Abbassi
This paper presents a control strategy for a flexible single-phase microgrid that can operate in grid-connected or in islanded mode. The microgrid adopted is composed of two voltage source inverters (VSIs) operated in parallel and two local nonlinear loads. This approach is based on a hierarchical structure which consists of inner, primary and secondary levels. The inner control regulates the output voltage of the VSI. The primary control based on the universal droop control which is recently proposed in the literature. The secondary control compensates the frequency and amplitude deviations caused by the primary control as well as synchronizes the microgrid to the grid for a seamless transition. Finally, simulation results are given, to show the performance and the flexibility of the proposed control scheme during islanded and grid-connected modes, with ensuring a smooth transition between these modes.
本文提出了一种可并网或孤岛运行的柔性单相微电网控制策略。所采用的微电网由两个并联的电压源逆变器和两个局部非线性负载组成。这种方法基于一个由内部、初级和二级组成的层次结构。内部控制器调节VSI的输出电压。主要控制是基于最近文献中提出的通用下垂控制。次级控制补偿由主控制引起的频率和幅度偏差,并使微电网与电网同步,实现无缝过渡。最后,给出了仿真结果,证明了所提控制方案在孤岛模式和并网模式下的性能和灵活性,并保证了这些模式之间的平稳过渡。
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引用次数: 6
Unknown input functional observers design for polytopic discrete time systems 多面体离散时间系统的未知输入函数观测器设计
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958704
Souad Bezzaoucha Rebaï, H. Voos, M. Darouach, K. C. Draa
In this paper, a step by step algorithm is given to design functional unknown input observer for nonlinear discrete time systems under the Polytopic Takagi-Sugeno framework (also known as multiple models systems). Applying the Lyapunov theory and the ℒ2 attenuation, Linear Matrix Inequalities (LMI)s conditions are deduced which are solved for feasibility to obtain observer design matrices. To reject the effect of unknown input, classical approach of decoupling the unknown input for the linear case is used. A solver based solution is proposed. The novelty of the proposed approach consists in solving simultaneously both structural constraints and LMIs, which ensure a mean for the efficient design of the gains of the observers. To illustrate the proposed theoretical results, an application example of model reference tracking control applied to an electro-mechanical model of a motor with a time varying parameter is discussed.
本文给出了在Polytopic Takagi-Sugeno框架下设计非线性离散时间系统(又称多模型系统)的函数未知输入观测器的一种逐级算法。利用李雅普诺夫理论和函数的衰减,推导出线性矩阵不等式(LMI)的条件,求解出了获得观测器设计矩阵的可行性。为了抑制未知输入的影响,采用经典的线性情况下的未知输入解耦方法。提出了一种基于求解器的求解方法。该方法的新颖之处在于同时求解结构约束和lmi,这确保了有效设计观测器增益的平均值。为了说明所提出的理论结果,讨论了模型参考跟踪控制在具有时变参数的电机机电模型中的应用实例。
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引用次数: 0
Fault feature extraction and classification based on HEWT and SVD: Application to rolling bearings under variable conditions 基于hut和SVD的故障特征提取与分类:在变工况下滚动轴承中的应用
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958712
B. Merainani, C. Rahmoune, D. Benazzouz, B. O. Bouamama, A. Ratni
Achieving an accurate fault diagnosis of rolling bearings under variable working conditions is relatively difficult and challenging topic. Thus, a hybrid fault diagnosis method is proposed. The method combines the Hilbert empirical wavelet transform (HEWT) and the singular value decomposition (SVD). HEWT, a new self-adaptive time-frequency analysis was applied to the vibration signals to obtain the instantaneous amplitude matrices. Then, the singular value vectors, as the fault feature vectors were acquired by applying the SVD. The bearing fault classifications are displayed through the information that got from the first three singular values. Through experimental results, it was concluded, that the proposed method can accurately extract and classify the bearing fault features under variable conditions.
实现变工况下滚动轴承的准确故障诊断是一个比较困难和具有挑战性的课题。为此,提出了一种混合故障诊断方法。该方法将Hilbert经验小波变换(HEWT)与奇异值分解(SVD)相结合。对振动信号采用了一种新的自适应时频分析方法,得到了瞬时振幅矩阵。然后,应用奇异值分解得到奇异值向量作为故障特征向量。通过前三个奇异值得到的信息显示轴承故障分类。实验结果表明,该方法可以准确地提取和分类可变条件下的轴承故障特征。
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引用次数: 1
Neighbor discovery using novel DE-based adaptive hello messaging scheme improving OLSR routing protocol performances 使用新的基于de的自适应hello消息机制发现邻居,提高了OLSR路由协议的性能
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958731
N. Harrag, Allaoua Refoufi, A. Harrag
With the recent advancement and rapid proliferation of wireless devices, Mobile Ad Hoc Networks (MANET) is becoming a major immerging technology in the field of telecommunication networks. A MANET is a collection of wireless nodes that can dynamically form a network to exchange information without using any pre-existing fixed network infrastructure. Due to the mobility of nodes in MANETs, local connections changes frequently and makes the network topology change constantly. In order to maintain the local connections up-to-date and track neighbor relationship between the nodes, each node broadcasts hello packets at regular intervals. However, sending periodic messages at a fixed interval can cause unnecessary traffic in the wireless network, and so may give reduced performance in the presence of frequent topology changes. This paper proposes an adaptive Hello messaging scheme for neighbor discovery using Differential evolution optimization (DE). The proposed scheme provides a self-tuning method for automatically increase the routing performance by adapting the value of hello interval. By using the DE, each node has the ability to select the optimal configuration for Hello interval parameter that can improve the global performance of the network. The proposed scheme is implemented under NS-2 simulator and tested using different scenarios. Our simulation results have shown that, compared to the default fixed timer approach, the proposed scheme could effectively improve control traffic overhead without sacrificing other performances such as packet delivery ratio and Average end to end delay and without using manual configuration.
随着近年来无线设备的发展和迅速普及,移动自组织网络(MANET)正在成为电信网络领域的一项重要的新兴技术。MANET是一个无线节点的集合,它可以动态地形成一个网络来交换信息,而不使用任何预先存在的固定网络基础设施。由于manet中节点的移动性,使得本地连接频繁变化,使得网络拓扑结构不断变化。为了保持本地连接的最新状态和跟踪节点之间的邻居关系,每个节点定期广播hello报文。但是,以固定的间隔发送周期性消息可能会在无线网络中造成不必要的流量,因此在拓扑频繁变化的情况下可能会降低性能。本文提出了一种基于差分进化优化(DE)的自适应Hello消息传递邻居发现方案。该方案提供了一种自调优方法,通过调整hello间隔的值来自动提高路由性能。通过使用DE,每个节点都能够为Hello interval参数选择最优配置,从而提高网络的全局性能。该方案在NS-2模拟器上实现,并在不同场景下进行了测试。仿真结果表明,与默认的固定定时器方法相比,该方案可以在不牺牲包投递率和平均端到端延迟等其他性能的情况下有效地改善控制流量开销,并且无需手动配置。
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引用次数: 9
Some results on optimal control of stochastic systems with state chance constraints 具有状态机会约束的随机系统最优控制的一些结果
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958705
Zahia Bouabbache, E. Busvelle, M. Aidène
We consider a continuous-time control problem with random initial condition and chance constraints. We solve this problem by discretizations and we prove that the discrete-time problem is convex and can be solved by the method of the logarithmic barrier function. Then we prove that when the discretization step goes to zero, the cost of the solutions of the discrete-time problems converge to the optimal cost of the continuous-time problem.
考虑一个具有随机初始条件和随机约束的连续时间控制问题。我们用离散化的方法解决了这个问题,并证明了离散时间问题是凸的,可以用对数势垒函数的方法来解决。然后证明了当离散步长趋近于0时,离散时间问题解的代价收敛于连续时间问题的最优代价。
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引用次数: 0
Automated storage and retrieval systems: A performances comparison between Free-fall-flow-rack and classic flow-rack 自动存储和检索系统:自由落体流架与经典流架的性能比较
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958654
Dhiyaeddine Metahri, Khalid Hachemi
Since their introduction, automated storage and retrieval systems (AS/RS) give a better solution for the inventory management in industrial companies and distribution centres to improve theirs performances. The main objective of the paper is to offer a performance comparison between two kinds of AS/RS (Free-Fall flow-rack and classic flow-rack), to highlight the benefits of using FF-flow-rack AS/RS in warehousing systems. Three comparison parameters has been considered: the average retrieval-travel-time, the total retrieval-travel-time, and throughput of a customer request. For this, multiple simulations are performed for different rack configurations with the same characteristics of both systems. The obtained results show that using the FF-flow-rack in place of the classic flow-rack will greatly decrease the average retrieval-travel-time and the total retrieval-travel-time of customer request. Indeed, the improvement of the throughput in the FF-flow-rack AS/RS can reach around 90% compared to the throughput in the classic flow-rack AS/RS.
自引入以来,自动存储和检索系统(AS/RS)为工业公司和配送中心的库存管理提供了更好的解决方案,以提高他们的绩效。本文的主要目的是提供两种AS/RS(自由落体流架和经典流架)的性能比较,以突出在仓储系统中使用FF-flow-rack AS/RS的好处。考虑了三个比较参数:平均检索旅行时间、总检索旅行时间和客户请求的吞吐量。为此,对两种系统具有相同特性的不同机架配置进行了多次仿真。研究结果表明,用FF-flow-rack代替经典flow-rack可以大大降低客户请求的平均检索行程时间和总检索行程时间。实际上,与传统流架AS/RS相比,ff流架AS/RS的吞吐量提高了90%左右。
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引用次数: 3
Tuning of decentralized fuzzy logic sliding mode controller using PSO algorithm for nonlinear Twin Rotor Mimo System 非线性双转子Mimo系统分散模糊滑模控制器的粒子群算法整定
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958641
N. Bouarroudj, A. Djari, D. Boukhetala, F. Boudjema
This paper presents the optimization of a variable structure controller based on a decentralized fuzzy logic sliding mode (DFLSM) strategy for the control of the pitch and azimuth angles of a TRMS when coupling vertical and horizontal axes. Particle Swarm Optimization (PSO) algorithm is used to tune the DFLSMC parameters to ensure optimal performance in the closed loop, within a given cost function. Finally, simulation results show the effectiveness of the decentralized FLSMC-based PSO algorithm in the stabilization and trajectory tracking tests compared to a non-optimized DFLSMC.
本文提出了一种基于分散模糊逻辑滑模(DFLSM)策略的变结构控制器的优化方法,用于控制垂直轴和水平轴耦合时TRMS的俯仰角和方位角。采用粒子群优化(PSO)算法对DFLSMC参数进行优化,使其在给定的代价函数内实现闭环的最优性能。仿真结果表明,与未优化的DFLSMC相比,基于分散式flsmc的PSO算法在稳定和轨迹跟踪方面具有较好的效果。
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引用次数: 2
Optimal energy control of induction motor standalone photovoltaic-battery pumping system 感应电机独立光伏电池泵送系统能量优化控制
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958685
Noureddine Benbaha, F. Zidani, M. Nait-Said, S. Boukebbous, H. Ammar
This paper focuses on a robust backstepping control of induction motor vector. The motor is coupled to a centrifugal pump as mechanical load, fed by a standalone photovoltaic generator, equipped by the lead acid battery storage system. Throughout this attempt, two main objectives have been achieved; firstly, assuring the continuity of electrical energy production. Secondly, operating the photovoltaic panels at maximum power point. The surplus power is stored in the battery bank in the goal to be exploited later, whenever, the solar power is insufficient. For a maximum exploitation photovoltaic power, a variable step-size of Perturb and Observe maximum power point tracking has been adopted. The proposed power management system aims to meet the required power, under variable weather conditions. The performance of the developed system has been analyzed through simulation by Matlab/Simulink and SimPowerSystems Blockset. The results obtained through the used approach averred a good improvement.
本文主要研究异步电机矢量的鲁棒反步控制。电机与离心泵耦合作为机械负载,由独立的光伏发电机供电,配备铅酸蓄电池存储系统。在这一尝试中,实现了两个主要目标;一是保证电能生产的连续性。其次,在最大功率点操作光伏板。多余的电量储存在蓄电池组中,以备以后太阳能电量不足时使用。对于最大开发光伏功率,采用变步长Perturb和Observe最大功率点跟踪。提出的电源管理系统旨在满足多变天气条件下的电力需求。通过Matlab/Simulink和SimPowerSystems Blockset对系统的性能进行了仿真分析。通过所采用的方法获得的结果有很好的改善。
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引用次数: 2
Vocal folds pathologies classification using Naïve Bayes Networks 使用Naïve贝叶斯网络进行声带病理分类
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958686
M. Dahmani, M. Guerti
in this study the Nave Bayes Network NBN classifier is used for automatic vocal folds pathologies detection and classification. The proposed method is based on the acoustic parameters extraction such as Mel Frequency Cepstral Coefficient (MFCC), jitter, shimmer and fundamental frequency which are used as inputs to NBN classifier to discriminate between three different groups: speakers with normal voice, speakers with spasmodic dysphonia and speakers with vocal folds paralysis. For classification we used a variety of voice simples (signal of vowels production) containing simples of the three groups mentioned. Our study is developed around Saarbruecken Voice Database (SVD) it is an open German database containing deferent samples, words, sentences of normal and pathological voice. The classification rate of the developed detection system is 90%.
本研究采用自然贝叶斯网络NBN分类器对声带病理进行自动检测和分类。该方法基于Mel频倒谱系数(MFCC)、抖动、闪烁和基频等声学参数的提取作为NBN分类器的输入,对正常发声者、痉挛性发声障碍者和声带麻痹者进行分类。为了分类,我们使用了包含上述三组简单句的各种语音简单句(元音产生的信号)。我们的研究是围绕Saarbruecken语音数据库(SVD)展开的,SVD是一个开放的德语数据库,包含正常和病理语音的不同样本,单词,句子。所开发的检测系统的分类率为90%。
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引用次数: 25
期刊
2017 6th International Conference on Systems and Control (ICSC)
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