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Parameter Identification of JONSWAP Spectrum Acquired by Airborne LIDAR

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Journal of Ocean University of China 2017年第6期16卷 998-1002页

作者： YU Yang PEI Hailong XU Chengzhong Key Laboratory of Autonomous Systems and Networked Control Ministry of EducationSouth China University of Technology lagep Batiment CPEUniversité Claude Bernard Lyon 1

In this study, we developed the first linear Joint North Sea Wave Project(JONSWAP) spectrum(JS), which involves a transformation from the JS solution to the natural logarithmic scale. This transformation is convenient for defining the least squares function in terms of the scale and shape parameters. We identified these two wind-dependent parameters to better understand the wind effect on surface waves. Due to its efficiency and high-resolution, we employed the airborne Light Detection and Ranging(LIDAR) system for our measurements. Due to the lack of actual data, we simulated ocean waves in the MATLAB environment, which can be easily translated into industrial programming language. We utilized the Longuet-Higgin(LH) random-phase method to generate the time series of wave records and used the fast Fourier transform(FFT) technique to compute the power spectra density. After validating these procedures, we identified the JS parameters by minimizing the mean-square error of the target spectrum to that of the estimated spectrum obtained by FFT. We determined that the estimation error is relative to the amount of available wave record data. Finally, we found the inverse computation of wind factors(wind speed and wind fetch length) to be robust and sufficiently precise for wave forecasting.

关键词： JONSWAP spectrum parameter identification least square method airborne LIDAR

Robust integral stabilization of regular linear systems

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Science in China(Series F) 2004年第5期47卷 545-554页

作者： XUChengzhong FENGDexing lagep Bat.308GUniversitedeLyon43Bddu11/11/191869622Villeurbannecedex-France InstituteofSystemsScience AcademyofMathematicsandSystemSciencesChineseAcademyofSciencesBeijing100080China

We consider regular systems with control and observation. We prove some necessary and sufficient condition for an exponentially stable regular system to admit an integral stabilizing controller. We propose also some r... 详细信息

关键词： infinite-dimensional system C0-semigroup integral controllers exponential stabilization.

Physical Transformations on Organic Product during Its Convective Drying: Case of Sweet Potato

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Journal of Biophysical Chemistry 2024年第2期15卷 25-34页

作者： Ouoba Kondia Honoré Ganamé Abdou-Salam Compaoré Aboubakar Ibrango Abdoul Salam Bama Désiré Zougmoré Francois Desmorieux Hélène Laboratoire de Matriaux de lHliophysique et Environnement (La.M.H.E.) Unit de Formation et de Recherche en Sciences Exactes et Appliques (UFR/SEA) Universit Nazi BONI Bobo Dioulasso Burkina Faso Laboratoire des Matriaux et Environnement (LA.M.E.) Unit de Formation et de Recherche en Sciences Exactes et Applique (UFR/SEA) Universit Joseph KI-ZERBO Ouagadougou Burkina Faso Laboratoire de Physique et de Chimie de lEnvironnement (LPCE) Ecole Doctorale Sciences et Technologie (ED-ST) Universit Joseph KI-ZERBO Ouagadougou Burkina Faso Laboratoire dAutomatique et de Gnie des Procds(lagep) Universit Claude Bernard Lyon France

This study highlighted the physical transformation that agri-food products undergo during their drying. This transformation enormously affects the customer’s choice and the profit margin of the dried product promoter. The example of the experimental study of the potato reveals that the product continually changes its dimensions during its drying. The more the product loses its water, the more the dimensions decrease. The results initially showed that the water parameters such as mass or water content decrease according to the drying principle. The dimensions length L., width l and thickness e. decrease following a linear trend whose mathematical equations which describe them are determined using the office tool, excel. This trend has repercussions on the surface and volume parameters which in turn decreases almost linearly with the product’s water content. Note that the coefficient R2 is not always acceptable, confirming the complex nature of the behavior of organic products.

关键词： Dimensions Reduction Shrinkage Index I

Combination of Model-based Observer and Support Vector Machines for Fault Detection of Wind Turbines

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International Journal of Automation and computing 2014年第3期11卷 274-287页

作者： Nassim Laouti Sami Othman Mazen Alamir Nida Sheibat-Othman Université de Lyon Université Lyon 1 CNRS CPE Lyon UMR 5007 LAGEP F-69616 Villeurbanne France Gipsa-lab/CNRS University of Grenoble Rue de la Houille Blanche 38400 Saint Martin d Heres France

Support vector machines and a Kalman-like observer are used for fault detection and isolation in a variable speed horizontalaxis wind turbine composed of three blades and a full converter. The support vector approach is data-based and is therefore robust to process knowledge. It is based on structural risk minimization which enhances generalization even with small training data set and it allows for process nonlinearity by using flexible kernels. In this work, a radial basis function is used as the kernel. Different parts of the process are investigated including actuators and sensors faults. With duplicated sensors, sensor faults in blade pitch positions,generator and rotor speeds can be detected. Faults of type stuck measurements can be detected in 2 sampling periods. The detection time of offset/scaled measurements depends on the severity of the fault and on the process dynamics when the fault occurs. The converter torque actuator fault can be detected within 2 sampling periods. Faults in the actuators of the pitch systems represents a higher difficulty for fault detection which is due to the fact that such faults only affect the transitory state(which is very fast) but not the final stationary state. Therefore, two methods are considered and compared for fault detection and isolation of this fault: support vector machines and a Kalman-like observer. Advantages and disadvantages of each method are discussed. On one hand, support vector machines training of transitory states would require a big amount of data in different situations, but the fault detection and isolation results are robust to variations in the input/operating point. On the other hand, the observer is model-based, and therefore does not require training, and it allows identification of the fault level, which is interesting for fault reconfiguration. But the observability of the system is ensured under specific conditions, related to the dynamics of the inputs and outputs. The whole fault detection

关键词： Fault detection and isolation wind turbine Kalman-like observer support vector machines data-based classification

甲基丙烯酸甲酯聚合动力学和分子量模型及仿真

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高等学校化学学报 2002年第11期23卷 2182-2187页

作者：单国荣 Gilles Fevotte Yann LE Gorrec 浙江大学高分子工程研究所 lagep UPRES-A CNRS Q5007 University Lyon 1CPE-LyonBat.308G43bd du 11 Novembre 191869622 Villeurbanne CedexFrance

考虑甲基丙烯酸甲酯聚合过程中体积收缩 ,反应物和生成物的浓度变化 ,以及由于凝胶、玻璃化和笼闭等效应对各速率常数和物性参数的影响 ,从基元反应和物料平衡出发 ,推导了半间歇、有链转移剂参与情况下的聚合动力学和分子量模型 .用模... 详细信息

考虑甲基丙烯酸甲酯聚合过程中体积收缩 ,反应物和生成物的浓度变化 ,以及由于凝胶、玻璃化和笼闭等效应对各速率常数和物性参数的影响 ,从基元反应和物料平衡出发 ,推导了半间歇、有链转移剂参与情况下的聚合动力学和分子量模型 .用模型仿真计算了聚合温度、引发剂、溶剂和链转移剂的种类和浓度等对甲基丙烯酸甲酯聚合动力学和聚合过程中分子量变化的影响规律 ,并与实验和文献数据进行比较 .

关键词：甲基丙烯酸甲酯聚合动力学分子量模型仿真聚甲基丙烯酸甲酯

Nonlinear Observers Synthesis Based on Strongly Persistent Inputs

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Nonlinear Observers Synthesis Based on Strongly Persistent I...

第二十九届中国控制会议

作者： Pascal DUFOUR Saida FLILA Hassan HAMMOURI Universitde Lyon F-69622LyonFrance Universit Lyon 1 Villeurbanne CNRS UMR 5007LAGEP.43 bd du 11 novembre69100 VilleurbanneFrance

In most of the literature,the design of a high gain observer is based on normal *** the case where a nonlinear system,which is characterized by a normal form,is observable independently on the input,it is shown here that the gain of this observer does not require any differential *** this paper,we also investigate the problem of the high gain observer of a class of nonlinear systems which are not observable independently on the *** is shown that if the input satisfies some observability condition,then an exponential observer,whose gain derived from a Lyapunov differential equation,can be designed.

关键词： Nonlinear System Nonlinear Observer Normal Form

Model Predictive Control of a Powder Coating Curing Process: an Application of the MPC@CB Software

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Model Predictive Control of a Powder Coating Curing Process:...

第二十六届中国控制会议

作者： Abid Kamel Dufour Pascal Bombard Isabelle Laurent Pierre Université de Lyon LyonF-69003France Université Lyon 1 CNRS UMR 5007 lagep (Laboratory of Process Control and Chemical Engineering) 43 bd du 11 novembre69100 VilleurbanneFrance

This paper deals with the control of a powder coating radiative curing process by infrared *** is based on a unidirectional dynamic modelling where both heat transfert and cure phenomena are accounted for within the *** control problem is the constrained optimization of the curing *** is solved using a special model predictive control framework: it is designed such that the calculation time is smaller that the sampling time （a few seconds）,in spite of the need to solve the non-linear partial differential equation based model involved during the online constrained optimization task *** results show here the efficiency of the control software developed （MPC@CB） under ***@CB may be easily used for any other constrained control problem.

关键词： Partial differential equations Model predictive control Control software Powder coating curing Heat transfer Matlab.

Algorithm of Identification for Water Parameters of Linear Water Waves

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Algorithm of Identification for Water Parameters of Linear W...

第32届中国控制与决策会议

作者： Yuying Jian Hailong Pei Chengzhong Xu Key Laboratory of Autonomous Systems and Networked Control Ministry of EducationUnmanned Aerial Vehicle Systems Engineering Technology Research Center of GuangdongSouth China University of Technology lagep Batiment CPEUniversity Claude Bernard-Lyon 1

In this paper,it is supposed that the linearized water wave equation（LWWE） can describe the movement of water *** the identification algorithm we put forward in this paper,the depth of water,the elevation of the wave surface,and the velocity potential can be calculated from the measured velocity of surface water waves at the same *** show the estimability by proving the mapping from the depth of water,the elevation of wave surface and the velocity potential to the measurement is ***,we verify our proposed algorithm,which is on the basis of the classical gradient descent method,with some numerical simulations.

关键词： System identification gradient descent method numerical simulations

An Infinite-Dimensional Luenberger-like Observer for Water Waves

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An Infinite-Dimensional Luenberger-like Observer for Water W...

第37届中国控制会议

作者： Yang YU Hai-Long PEI Cheng-Zhong XU Key Laboratory of Autonomous Systems and Networked Control Ministry of EducationUnmanned Aerial Vehicle Systems Engineering Technology Research Center of GuangdongCollege of Automation Science and EngineeringSouth China University of Technology lagep Batiment CPEUniversity Claude Bernard-Lyon 1

The paper deals with the observation problem by using an infinite dimensional observer for the water wave system governed by linearized water wave partial differential *** consider that the water wave system evolves in some infinitedimensional Hilbert *** output measurement of dynamical system is supposed to be the water wave surface *** infinite-dimensional exponentially convergent Luenberger-like observer is proposed to estimate the states of water water system:water velocity potential and surface *** simulations by the finite difference scheme are carried out to validate the proposed observer.

关键词： infinite dimension system observer convergence finite difference method