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

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A neural MPPT approach for a wind turbine 风力发电机的神经网络MPPT方法
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958689
S. Ladjouzi, S. Grouni, Mustapha Djebiri, Y. Soufi
This paper focuses on a proposed Maximum Power Point Tracking (MPPT) methodology based on artificial neural network (ANN) scheme. The proposed MPPT strategy uses an ANN as a controller that provides optimum wind-energy acquisition in variable speed case. The ANN training is done according to the data possession obtained by the different equations establishing the model of the wind turbine in the optimal case. The effectiveness of the proposed approach is verified by simulation on a wind turbine system.
提出了一种基于人工神经网络(ANN)的最大功率点跟踪方法。提出的MPPT策略采用人工神经网络作为控制器,在变速情况下提供最优的风能获取。根据建立最优情况下风力机模型的不同方程所获得的数据占有情况进行人工神经网络训练。通过对某风力发电系统的仿真验证了该方法的有效性。
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引用次数: 3
Active fault-tolerant control system vs Model Reference Adaptive Control system: Performance comparison on flight systems 主动容错控制系统与模型参考自适应控制系统:飞行系统性能比较
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958688
A. Ghodbane, M. Saad
Modern avionic systems are still designed based only on the sensors' measurements, without considering actuator fault scenarios. Acting on several control surfaces, actuators are considered as critical components and therefore, failed actuators can lead to undesirable consequences as degrade performances or even loss of stability during flight. To handle this problem, actuator hardware redundancy has been used for many years ago. However, this technique is expensive and involves increased weight and space. Therefore, new control approaches, based on the online actuator fault diagnosis and fault effect compensation, are developed to deal with these disadvantages. These approaches are known in the literature as fault-tolerant flight control systems. In this paper, a fault-tolerant flight control system is designed and applied to the linear lateral motion of the Boeing 747. Numerical simulations are performed to compare its performance and effectiveness with existing approaches. FlightGear software simulator is used to show the behavior of the aircraft on a graphical user interface.
现代航空电子系统的设计仍然仅仅基于传感器的测量,而没有考虑执行器故障的情况。执行器作用于多个控制面,被认为是关键部件,因此,执行器失效可能导致性能下降甚至飞行过程中失去稳定性等不良后果。为了解决这个问题,执行器硬件冗余已经使用了很多年。然而,这种技术很昂贵,而且会增加重量和空间。因此,基于执行器故障在线诊断和故障效应补偿的控制方法应运而生。这些方法在文献中被称为容错飞行控制系统。本文设计了一种容错飞行控制系统,并将其应用于波音747飞机的直线横向运动。通过数值仿真比较了该方法与现有方法的性能和有效性。FlightGear软件模拟器用于在图形用户界面上显示飞机的行为。
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引用次数: 2
MPPT voltage oriented loop based on integral sliding mode control applied to the boost converter 基于积分滑模控制的MPPT电压定向环应用于升压变换器
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958687
Abass Kihel, F. Krim, Abdelbaset Laib
in this paper, an integral sliding mode control method is proposed for maximum power point tracking MPPT voltage oriented loop. The aim is to obtain a better performance when applying it to stand alone. The proposed technique is studied and simulated by using Matlab/Simulink and simpower system packages. The obtained simulation results display significant enhancements by applying the proposed method compared to the conventional P&O and Voltage oriented loop based PI controller methods in term of accuracy and oscillations around MPP it. This could help with decreasing the power losses.
本文提出了一种最大功率点跟踪MPPT电压定向环的积分滑模控制方法。目的是在将其单独应用时获得更好的性能。利用Matlab/Simulink和simpower系统包对该技术进行了研究和仿真。仿真结果表明,与传统的P&O和基于电压定向环的PI控制器方法相比,该方法在精度和MPP周围的振荡方面都有显著提高。这有助于减少电力损耗。
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引用次数: 10
Stability and robust stability of 2D discrete Fornasini-Marchesini model with multiplicative noise 具有乘性噪声的二维离散Fornasini-Marchesini模型的稳定性和鲁棒稳定性
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958727
Marwa Elloumi, M. Ghamgui, D. Mehdi, M. Chaabane
This paper tackles the problem of stability and robust stability of 2D discrete Fornasini-Marchesini (FM) model with multiplicative noise. First, we establish a mean-square asymptotic stability by using the Leibniz-Newton formula with additional free weighting matrices. Based on this stability criterion, which is expressed through Linear Matrix Inequality, we investigate the robust stability for 2D discrete Fornasini-Marchesini (FM) model with multiplicative noise with norm-bounded uncertain matrix. To illustrate the effectiveness of the proposed approach, simulation examples are given.
研究了具有乘性噪声的二维离散Fornasini-Marchesini (FM)模型的稳定性和鲁棒稳定性问题。首先,我们利用带有附加自由权矩阵的莱布尼兹-牛顿公式建立了均方渐近稳定性。基于该稳定性判据(用线性矩阵不等式表示),研究了带有范数有界不确定矩阵的乘性噪声二维离散Fornasini-Marchesini (FM)模型的鲁棒稳定性。为了说明该方法的有效性,给出了仿真实例。
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引用次数: 1
Robust adaptive observer design for fast fault estimation for nonlinear T-S fuzzy systems using descriptor approach 基于描述子方法的非线性T-S模糊系统快速故障估计鲁棒自适应观测器设计
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958708
Salama Makni, M. Bouattour, M. Chaabane, A. Hajjaji
In this work, we study the detection and estimation problem of sensor and actuator faults (SAF) for nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models subject to an Unknown Bounded Disturbance (UBD). Simultaneously, we study the estimation of the states. To do this, we design an adaptive descriptor observer to jointly estimate state and SAF vectors. This observer not only lead to estimate the actuator fault, but also to improve the performance of fault estimation. To prove the existence of this observer, two sufficient conditions are deduced in form of Linear Matrix Inequalities (LMIs) using Lyapunov theory. A robustness to disturbance is elaborated by considering the H∞ performance. Finally, a numerical example and simulation results are afforded to prove the mentioned process efficiency.
在这项工作中,我们研究了受未知有界干扰(UBD)的Takagi-Sugeno (T-S)模糊模型表示的非线性系统的传感器和执行器故障(SAF)的检测和估计问题。同时,我们研究了状态的估计。为此,我们设计了一个自适应描述符观测器来联合估计状态和SAF向量。该观测器不仅对执行器的故障进行了估计,而且提高了故障估计的性能。为了证明该观测器的存在性,利用李雅普诺夫理论以线性矩阵不等式(lmi)的形式推导了两个充分条件。通过考虑H∞性能,阐述了对扰动的鲁棒性。最后给出了数值算例和仿真结果,证明了该方法的有效性。
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引用次数: 7
Doubly fed induction generator based wind generator dynamic simulation considering power extraction maximization 基于双馈感应发电机的风力发电机动态仿真研究
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958725
H. Nahilia, M. Boudour, Alben Cardenas Gonzalez, M. Doumbia, K. Agbossou
In this paper, wind generator modeling is presented including the algorithm for maximizing the extracted power. The DFIG stator winding is directly connected to the utility grid and the rotor winding is connected via a back to back converter. The oriented flux control allows the machine to follow the set points of active and reactive power.
本文提出了风力发电机的建模方法,包括提取功率最大化的算法。DFIG定子绕组直接连接到公用电网,转子绕组通过背对背变流器连接。定向磁通控制允许机器跟随有功和无功功率的设定值。
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引用次数: 2
Optimal sizing of hybrid renewable PV/Wind battery system using LPSP methods 利用LPSP方法优化可再生光伏/风能混合电池系统的尺寸
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958737
Jihane Kartite, M. Cherkaoui
this article explains a methodology for optimal sizing of hybrid PV/Wind battery system. The methodology is based on Loss of Power Supply Probability (LPSP) concept and Annual System Cost (ASC). First the Annual System Cost is optimized using Backtracking search algorithm. Afterward the influence of the load profile on the LPSP is simulated.
本文阐述了光伏/风力混合电池系统最佳尺寸的方法。该方法基于电力供应损失概率(LPSP)概念和系统年成本(ASC)。首先利用回溯搜索算法对系统年成本进行优化。然后,模拟了负载分布对LPSP的影响。
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引用次数: 10
FPGA implementation of PSO based MPPT for PV systems under partial shading conditions 部分遮阳条件下基于PSO的光伏系统MPPT的FPGA实现
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958682
Karim Kaced, C. Larbes, S. Chikh, M. Bounabi, Z. Dahmane
This paper presents a Field Programmable Gate Array (FPGA) implementation of Particle Swarm Optimisation (PSO) algorithm for maximum power point tracking (MPPT). The PSO method is very effective to handle the multimodal power-voltage (P-V) curve under partial shading conditions and presents several advantages such as simple structure and good dynamic performances. The PSO method has been designed using the very high-speed description language (VHDL) and implemented on Xilinx Virtex5 (XC5VLX50-1FFG676) FPGA. The use of FPGA offers a high degree of flexibility and robustness for the MPPT algorithm. The simulations results demonstrate the accuracy of PSO for global peak tracking and its superiority over the Perturb and Observe (P&O) technique. The developed architecture is tested in real time application on a buck-boost converter. Experimental results confirm the efficiency of the proposed scheme and its high accuracy to handle the partial shading.
本文提出了一种现场可编程门阵列(FPGA)实现粒子群优化(PSO)算法的最大功率点跟踪(MPPT)。PSO方法可以有效地处理部分遮阳条件下的多模态功率电压(P-V)曲线,具有结构简单、动态性能好的优点。采用超高速描述语言(VHDL)设计了PSO方法,并在Xilinx Virtex5 (XC5VLX50-1FFG676) FPGA上实现。FPGA的使用为MPPT算法提供了高度的灵活性和鲁棒性。仿真结果证明了粒子群算法在全局峰值跟踪中的准确性,以及它相对于扰动与观测(P&O)方法的优越性。所开发的体系结构在一个降压变换器上进行了实时应用测试。实验结果证实了该方法的有效性和处理部分阴影的精度。
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引用次数: 10
Mobile robot trajectory tracking using terminal sliding mode control 移动机器人轨迹跟踪采用终端滑模控制
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958674
Walid Benaziza, N. Slimane, Ali Mallem
In this paper, an approach of trajectory tracking is proposed. The approach is based on two controls. Firstly, a quasi sliding mode control is proposed of the angular velocity in aim to converge the angle error to zero in short time with asymptotic stability. Secondly, a global sliding mode control for linear velocity is proposed, in order to bring the position error to zero and ensure the asymptotic stability by using the Lyapunov theory. Finally, the proposed control shows the performance of the algorithm, and the simulation results show good convergence for circular, sinusoidal and specific trajectories.
本文提出了一种弹道跟踪方法。该方法基于两个控件。首先,提出了一种角速度的准滑模控制方法,使角误差在短时间内收敛到零,并具有渐近稳定性。其次,利用李雅普诺夫理论,提出了线性速度的全局滑模控制,使位置误差接近于零,并保证了系统的渐近稳定性。仿真结果表明,该算法对圆形轨迹、正弦轨迹和特定轨迹均具有良好的收敛性。
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引用次数: 6
Fault-tolerant fuzzy sliding-mode control for a class of MIMO underactuated nonlinear systems 一类MIMO欠驱动非线性系统的容错模糊滑模控制
Pub Date : 2017-05-01 DOI: 10.1109/ICOSC.2017.7958691
Faten Baklouti, Sinda Aloui, A. Chaari, A. Hajjaji
This paper focuses on the synthesis of adaptive fuzzy fault tolerant controller which combines a sliding mode controller and a Proportional Integral controller (PI) for a class of MIMO underactuated nonlinear systems with external disturbances. The proposed control law treats the underactuated systems on their original non square form without squaring them by adding or eliminating variables. The uncertain system functions are predicted by fuzzy logic systems and free parameters can be updated on-line by adaptive laws based on Lyapunov theory. The overall adaptive fuzzy sliding mode scheme guarantees the global stability of the resulting closed-loop system as well as the convergence of the reference tracking error vector. The validity of the proposed approach is shown by computer simulations.
针对一类具有外部干扰的MIMO欠驱动非线性系统,研究了一种结合滑模控制器和比例积分控制器的自适应模糊容错控制器的综合。所提出的控制律将欠驱动系统处理为原始的非平方形式,而不是通过增加或消除变量对其进行平方处理。利用模糊逻辑系统对不确定系统函数进行预测,利用李亚普诺夫理论的自适应规律在线更新自由参数。整体自适应模糊滑模方案保证了闭环系统的全局稳定性和参考跟踪误差向量的收敛性。计算机仿真结果表明了该方法的有效性。
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2017 6th International Conference on Systems and Control (ICSC)
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