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Robust nonlinear control design for turbocharged biodiesel engine 涡轮增压生物柴油发动机鲁棒非线性控制设计
Pub Date : 2013-12-01 DOI: 10.1109/ICOSC.2013.6750889
O. Kuzmych, A. Aitouche, Li Cheng
In this paper, we propose a Control Lyapunov Function based nonlinear robust controller for turbocharged biodiesel engine. A model-based approach has been used which predicts experimentally observed engine performance for biodiesel. The basic idea is to develop inverse optimal control and utilize Lyapunov function in order to achieve good performance. The obtained controller gain guarantees the global convergence of the system and regulates the flows for the Variable Geometry Turbocharger and Exhaust Gas Recirculation systems in order to minimize the NOx emission and smoke of biodiesel engine. Simulation of the control performance shows the effectiveness of this approach.
针对涡轮增压生物柴油发动机,提出了一种基于李雅普诺夫控制函数的非线性鲁棒控制器。一种基于模型的方法被用于预测实验观察到的生物柴油发动机性能。其基本思想是发展逆最优控制并利用李雅普诺夫函数来达到较好的控制性能。所获得的控制器增益保证了系统的全局收敛性,并调节了变几何涡轮增压器和废气再循环系统的流量,使生物柴油发动机的NOx排放和烟雾最小化。仿真结果表明了该方法的有效性。
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引用次数: 2
Design of unbiased functional observers for interconnected discrete-time delay systems 互连离散时滞系统的无偏函数观测器设计
Pub Date : 2013-10-29 DOI: 10.1109/ICOSC.2013.6750912
H. Souley Ali, M. Alma, M. Darouach, C. Delattre
This paper proposes a method of designing an unbiased functional observer for each subsystem of a large scale delay discrete-time system. The method uses a rewriting of the observation error to avoid the constraint (due to the interconnection terms) that generally arises in observer design for these systems. The approach that we use to express the observation error permits to use results on stabilization of large scale delay discrete-time systems to solve the problem. The proposed observers are free of the interconnection terms and the observation error are unbiased. Each observer gain is parameterized via a single gain matrix which is computed via LMI. A tractable algorithm permits to compute the proposed observer easily.
本文提出了一种为大规模延迟离散系统的各子系统设计无偏函数观测器的方法。该方法使用对观测误差的重写,以避免在这些系统的观测器设计中通常出现的约束(由于互连项)。我们所采用的表示观测误差的方法允许用大规模延迟离散系统的镇定结果来解决这个问题。所提出的观测器不存在互连项,观测误差无偏。每个观测器的增益是通过LMI计算得到的单个增益矩阵参数化的。一种易于处理的算法可以很容易地计算所提出的观测器。
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引用次数: 2
Observability-singularity manifolds in the context of chaos based cryptography 混沌密码学中的可观测-奇点流形
Pub Date : 2013-10-29 DOI: 10.1109/ICOSC.2013.6750843
O. Datcu, R. Tauleigne, A. Vlad, J. Barbot
In the '80s Takens formulated the conditions that ensure the capability to reconstruct the dynamics of a transmitter when an observer receives one scalar output from the transmitter. In practical situations, the reconstruction of the original system is strongly influenced by the choice of the variable transmitted over the communication channel. This paper aims to analyze this influence in the context of mathematical singularities occurring in the evolution of the chaotic manifolds used in encryption. We analyze two systems having a chaotic behavior, a discrete system, the Hitzl-Zele map, and a continuous one, the Colpitts oscillator. We show the existence of observability singularities in both cases. The numerical experiments point out that the dynamics of the discrete system falls in these singularities sets, but very infrequently. More surprisingly, the dynamics of the continuous system can not pass through the singularity, which is situated at infinity. But an exponential factor allows the chaotic dynamics to approach the vicinity of the singularity better than 10-7 and that, for about 30% of its duration. The noise inherent in analog signals are much higher than this value, the observation of the system is impossible in practice.
在80年代,Takens制定了一个条件,当观察者从发射器接收到一个标量输出时,确保能够重建发射器的动态。在实际情况下,原系统的重建很大程度上受到通信信道上传输变量选择的影响。本文的目的是分析这种影响的背景下,数学奇点出现在混沌流形的演化用于加密。我们分析两个具有混沌行为的系统,一个是离散系统,即希兹-泽勒映射,另一个是连续系统,即科尔皮茨振荡器。我们在这两种情况下都证明了可观测奇点的存在性。数值实验表明,离散系统的动力学特性落在这些奇异集中,但很少出现。更令人惊讶的是,连续系统的动力学不能通过位于无穷远处的奇点。但是指数因子允许混沌动力学比10-7更好地接近奇点附近,并且在其持续时间的30%左右。模拟信号的固有噪声远高于此值,在实际中无法对系统进行观测。
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引用次数: 1
From restricted isometry property to observability under sparse measurement 从受限等距性到稀疏测量下的可观测性
Pub Date : 2013-10-29 DOI: 10.1109/ICOSC.2013.6750846
Y. Khaled, J. Barbot, K. Busawon, D. Benmerzouk
In this paper, we show that it is possible to detect the active mode and reconstruct its associated state for a class of hybrid linear systems under sparse measurements. The solution we bring to this problem is firstly to analyze the observability of systems under random sampling and secondly to synthesize an impulsive observer. Here, the first approach is based on the concept of compressive sampling which is well-known in signal processing theory. A synthesis of impulsive observers will be presented for some special cases. These observers allows to detect the active mode and rebuild the state under sparse measurement. Simulation results are provided in order to highlight the well-foundedness of the proposed approach.
在本文中,我们证明了在稀疏测量条件下检测一类混合线性系统的主动模式并重建其相关状态是可能的。解决这一问题的方法首先是分析系统在随机抽样下的可观测性,其次是合成一个脉冲观测器。在这里,第一种方法是基于压缩采样的概念,这是众所周知的信号处理理论。对于一些特殊情况,将提出脉冲观测器的综合。这些观察器允许在稀疏测量下检测活动模式并重建状态。为了突出所提出方法的良好基础,给出了仿真结果。
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引用次数: 1
Active ground vehicle control with use of a super-twisting algorithm in the presence of parameter variations 在参数变化情况下,利用超扭转算法对地面车辆进行主动控制
Pub Date : 2013-10-29 DOI: 10.1109/ICOSC.2013.6750997
L. Etienne, S. Gennaro, J. Barbot
In this paper, we consider a vehicle equipped with active front steer and rear torque vectoring. While the former adds an incremental steer angle to the driver's input, the latter imposes a torque by means of the rear axle. The active front steer control is actuated through the front tires, while the rear torque vectoring can be actuated through the rear tires. A nonlinear controller using the super-twisting algorithm is designed in order to track in finite time lateral and yaw angular velocity references. We consider one estimation method, given in the literature, to estimate the tire-road coefficient, and we design a dynamic controller to estimate the perturbing terms due to the vehicle's mass and inertia variations, and due to the variation of the tire parameters. Comparisons with a simple PI-based controller are done, and some simulation results highlight the advantages of the proposed controller.
在本文中,我们考虑了一个车辆配备主动前转向和后扭矩矢量。前者增加了驾驶员输入的增量转向角度,后者通过后桥施加扭矩。主动前转向控制通过前轮胎驱动,而后扭矩矢量控制可以通过后轮胎驱动。为了在有限时间内跟踪横向角速度和偏航角速度,设计了一种采用超扭转算法的非线性控制器。我们考虑了文献中给出的一种估计方法来估计轮胎-道路系数,并设计了一个动态控制器来估计由于车辆质量和惯性变化以及轮胎参数变化引起的扰动项。并与一种简单的基于pi的控制器进行了比较,仿真结果表明了该控制器的优越性。
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引用次数: 9
H∞ filter based-controller for a class of continuous time nonlinear singular systems 一类连续时间非线性奇异系统的H∞滤波控制器
Pub Date : 2013-10-29 DOI: 10.1109/ICOSC.2013.6750905
M. Zerrougui, L. Boutat-Baddas, M. Darouach
This paper deals with the problem of H∞ observer-based stabilization of a class of nonlinear singular systems. We propose an extension of the results on the observer-based controller design in the case of the standard systems to the case of the nonlinear singular systems. We give a sufficient conditions for the stability of the state feedback controller, and give a closed-loop system with state estimate feedback controller. These last are expressed in terms of strict linear matrix inequalities.
研究一类非线性奇异系统的基于H∞观测器的镇定问题。我们将标准系统中基于观测器的控制器设计的结果推广到非线性奇异系统。给出了状态反馈控制器稳定性的充分条件,并给出了带状态估计反馈控制器的闭环系统。最后这些是用严格的线性矩阵不等式来表示的。
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引用次数: 0
Heuristic kalman algorithm optimization: Application in H∞ - PID controller tuning of Lagrangian system 启发式卡尔曼算法优化:在拉格朗日系统H∞- PID控制器整定中的应用
Pub Date : 2013-10-01 DOI: 10.1109/ICOSC.2013.6750907
Rochdi Bachir Bouyadja, M. Khelfi
This paper deals with the application of a randomized optimization method to obtain the optimum PID gains. This method is based on a heuristic Kalman algorithm (HKA) and is described as more speedy and more accurate optimization methods. First, we introduce the general form of the H∞ control law obtained by solving a partial differential equation labeled Hamilton-Jacobi-Isaacs equation. An analytic solution to this equation is described for the Euler-Lagrange Systems. Second, based on this solution and on the PID control law resulting, it is shown how to use the optimization method to adjust optimally the controller's gains ensuring a minimum L2 - gain and thus disturbance attenuation. Third, we apply this optimization algorithm in the trajectory tracking and disturbance attenuation problem of a three degree of freedom robot manipulator. The simulation results show the effectiveness of the H∞-PID control law optimized by the HKA method.
本文讨论了如何应用随机优化方法来获得最优PID增益。该方法基于启发式卡尔曼算法(HKA),是一种速度更快、精度更高的优化方法。首先,通过求解一类偏微分方程Hamilton-Jacobi-Isaacs方程得到H∞控制律的一般形式。给出了欧拉-拉格朗日方程组的解析解。其次,基于此解和由此产生的PID控制律,展示了如何使用优化方法来优化调整控制器的增益,以确保最小的L2增益,从而抑制干扰。第三,将该优化算法应用于三自由度机械臂的轨迹跟踪与干扰抑制问题。仿真结果表明,采用HKA方法优化的H∞-PID控制律是有效的。
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引用次数: 0
Neuro-Fuzzy Genetic Algorithms for monitoring in a production system 用于生产系统监控的神经模糊遗传算法
Pub Date : 2013-10-01 DOI: 10.1109/ICOSC.2013.6750828
I. Djelloul, M. Souier, Z. Sari
In this paper, our interest is focused on monitoring in production systems. The motivation behind this investigation is the need of presenting hybrid approach of Neuro-Fuzzy Genetic for the optimal learning, which allows getting the required performance measures. The presence of Neuro- Fuzzy algorithms which may involving elegantly the set of features extraction are defined in terms of membership function, where as Genetic Algorithms are proposed to optimize the set of rules, in order to design supervised classification systems by generating fuzzy if-then rules. The learning process is based on two algorithms: Levenberg-Marquardt (TRAINLM) and Gradient Descent (TRAINGDA). Then, the proposed algorithms performances are verified and analyzed through an industrial application of agro-alimentary unit called AURES dairy for the city of Batna. The simulation results show that the proposed approach performs the best when Levenberg-Marquardt is used as a learning algorithm.
在本文中,我们的兴趣集中在生产系统中的监控。这项研究背后的动机是需要提出神经模糊遗传的混合方法来实现最优学习,从而获得所需的性能指标。本文从隶属函数的角度定义了神经模糊算法对特征集的提取,提出了遗传算法对规则集进行优化,通过生成模糊的if-then规则来设计监督分类系统。学习过程基于两种算法:Levenberg-Marquardt (TRAINLM)和梯度下降(TRAINGDA)。然后,通过Batna市农业食品单位AURES乳业的工业应用验证和分析了所提出算法的性能。仿真结果表明,采用Levenberg-Marquardt作为学习算法时,所提方法的学习效果最好。
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引用次数: 5
Stabilization of unsymmetrical saturated discrete-time systems: An LMI approach 非对称饱和离散系统的镇定:LMI方法
Pub Date : 2013-10-01 DOI: 10.1109/ICOSC.2013.6750902
M. Benhayoun, A. Benzaouia, F. Mesquine, A. El Hajjaji
This paper deals with the regulator problem for linear discrete-time systems with asymmetric saturations on the control. The main contribution of this work is to extend the available results for symmetrical saturation to the case of unsymmetrical saturation. The results are expressed in term of LMIs. An example is presented to illustrate the obtained results.
研究了具有非对称饱和控制的线性离散系统的调节器问题。这项工作的主要贡献是将对称饱和的现有结果扩展到不对称饱和的情况。结果用lmi表示。最后给出了一个算例来说明所得结果。
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引用次数: 13
Modeling and control of a matrix converter using fuzzy supervisory controller 基于模糊监控的矩阵变换器建模与控制
Pub Date : 2013-10-01 DOI: 10.1109/ICOSC.2013.6750895
B. Hamane, M. Doumbia, A. Chériti, K. Belmokhtar
Matrix converter is a topology of direct AC-AC conversion converter. It provides a system of variable voltage and frequency from fixed input grid voltage. Therefore, the output of the matric converter is directly affected by unbalanced input grid voltage. Some research works have been made to overcome this problem by using Proportional integral (PI) control. However, PI control has limited performance when it is used in nonlinear systems. Fuzzy logic controller (FLC) has the advantage to control highly nonlinear and difficult to model systems. Therefore, the combination of these two controllers to form a fuzzy supervisory control (FSC) can give better performance to overcome the limitation of PI control in nonlinear systems. In this paper a novel FSC based control method is proposed. The FSC performs closed loop control of the output current to improve the performance of the MC powered by unbalanced grid voltage. The working principle, Venturini modulation strategy of MC and characteristics of FSC are presented. The performance of FSC is tested and compared for balanced and unbalanced grid.
矩阵变换器是一种拓扑结构的直接AC-AC转换变换器。它从固定的输入电网电压提供一个可变电压和频率的系统。因此,矩阵变换器的输出直接受到输入电网电压不平衡的影响。为了克服这一问题,已经进行了一些利用比例积分控制的研究工作。然而,在非线性系统中,PI控制的性能有限。模糊控制器(FLC)具有控制高度非线性和难以建模的系统的优点。因此,将这两种控制器组合构成模糊监督控制(FSC)可以更好地克服PI控制在非线性系统中的局限性。本文提出了一种新的基于FSC的控制方法。FSC对输出电流进行闭环控制,以改善由不平衡电网电压供电的MC的性能。介绍了MC的工作原理、文丘里尼调制策略和FSC的特点。对平衡和不平衡网格下FSC的性能进行了测试和比较。
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引用次数: 1
期刊
3rd International Conference on Systems and Control
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