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Synchronising second-order multi-agent systems under dynamic topology via reference model-based algorithm

Journal of control and Decision 2014年第3期1卷 214-225页

作者： Jiahu Qin Huijun Gao Tasawar Hayat Fuad E.Alsaadi Department of Automation University of Science and Technology of ChinaHefeiChina Research School of Engineering Australian National UniversityCanberraAustralia Research Institute of Intelligent Control and Systems Harbin Institute of TechnologyHarbinChina Nonlinear Analysis and Applied Mathematics Group King Abdulaziz University(KAU)JeddahSaudi Arabia Faculty of Engineering Department of Electrical and Computer EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics Quaid-I-Azam UniversityIslamabadPakistan

This paper revisits the synchronisation problem for second-order multi-agent systems(MASs)under dynamically changing communication *** employing the reference model-based synchronisation algorithm,it is finally shown that synchronisation for both the position and velocity states can be achieved if the union of the communication topologies has a directed spanning tree frequently *** extends the existing results obtained for second-order MASs which exploits mild communication topology condition guaranteeing the synchronisation to a more general *** analysis is successfully performed by exploiting the product properties of row-stochastic matrices,which can also provide us with an estimate the convergence rate towards the synchronisation.

关键词： synchronisation double-integrator agents weakest possible communication topology rate of convergence

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Research and design on multi-target current tracking control strategy of cascaded H-bridge static var generator

Research and design on multi-target current tracking control...

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International Conference on electrical Machines and Systems (ICEMS)

作者： Yannan Yu Dianguo Xu Jian Wu Rong Xu Yong Yu Rongfeng Yang Jichi Yan School of Electrical and Control Engineering Heilongjiang University of Science and Technology China School of Electrical Engineering and Automation Harbin Institute of Technology China

ISBN: (纸本)9781479951635

This paper describes an improved current tracking control strategy about cascaded H-bridge static var generator (SVG). This control strategy can not only increase dynamic response speed and power quality but also enhance the reliability of the grid. The working principle of the reactive power compensation is analyzed, then mathematic model of the cascaded H-bridge SVG is established, the model is discrete to be a discrete mathematic model. The discrete-time static observer is constructed and an improved dead-beat current control strategy is proposed. By comparing the dead-beat control and the current feed-forward coupling control, this dead-beat control has multitarget advantage. And by testing on a 10-KV 2-Mvar reactive power compensation system, the advantage of the dead-beat current tracking control is tested. Simulation and experimental results show that this control strategy can improve the dynamic performance and sine degree of the waveforms.

关键词： Current control Mathematical model Voltage control Reactive power Equations Observers

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Temperature control for Nano-Scale Films by Spatially-Separated Atomic Layer Deposition Based on Generalized Predictive control

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IEEE Transactions on Nanotechnology 2015年第6期14卷 1094-1103页

作者： He, Wen-Jie Zhang, Hai-Tao Chen, Zhiyong Lin, Ji-Long Tian, Kan Shan, Bin Chen, Rong State Key Laboratory of Digital Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control School of Automation State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan430074 China School of Electrical Engineering and Computer Science University of Newcastle CallaghanNSW2308 Australia China-EU Institute for Clean and Renewable Energy Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of Material Processing and Die and Mould Technology School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan430074 China

This paper established a closed-loop temperature control system for a spatially-separated atomic layer deposition (S-ALD) reactor using generalized predictive control (GPC) algorithm. The GPC-based closed-loop control system rapidly and precisely stabilized the reactor temperature in the presence of thermal field disturbances. Compared with the proportion-integration differentiation (PID) control commonly used for S-ALD, the closed-loop GPC system attenuated reaction temperature oscillations when producing two-element nano-scale thin films. Furthermore, the proposed GPC system demonstrated the superiority in multi-element nano-laminates depositing efficiency by reducing the settling time with a substrate moving between different reactors. electrical and optical properties of films verified the feasibility of the proposed GPC system. Finally, experimental results presented that the microstructure of the deposited ALD nanometer thin film was improved with the developed GPC system, compared with the PID strategy. © 2002-2012 IEEE.

关键词： Atomic layer deposition

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Moment Matching Based Model Reduction for LPV State-Space Models

Moment Matching Based Model Reduction for LPV State-Space Mo...

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IEEE Annual Conference on Decision and control

作者： Mert Bastug Mihaly Petreczky Roland Toth Rafael Wisniewski John Leth Denis Efimov Department of Electronic Systems Automation and Control Aalborg University 9220 Aalborg Denmark Department of Computer Science and Automatic Control (UR Informatique et Automatique) Ecole des Mines de Douai 59508 Douai France Department of Electrical Engineering Control Systems Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands Non-A INRIA Lille - Nord Europe Parc Scientifique de la Haute Borne 40 avenue Halley Bat. A Park Plaza 59650 Villeneuve d'Ascq France

ISBN: (纸本)9781479978878

We present a novel algorithm for reducing the state dimension, i.e., order, of linear parameter varying (LPV) discrete-time state-space (SS) models with affine dependence on the scheduling variable. The input-output behavior of the reduced order model approximates that of the original model. In fact, for input and scheduling sequences of a certain length, the input-output behaviors of the reduced and original model coincide. The proposed method can also be interpreted as a reachability and observability reduction (minimization) procedure for LPV-SS representations with affine dependence.

关键词： Reduced order model original model INPUT-OUTPUT Affine In-law Accessibility Moment of force

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Separable model predictive control via alternating direction method of multipliers for large-scale systems 19

Separable model predictive control via alternating direction...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Lu, Liang Division of Automatic Control Department of Electrical Engineering Linköping University LinköpingSE-581 83 Sweden State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

ISBN: (纸本)9783902823625

In this paper, an alternating direction method of multipliers (ADMM) based realtime model predictive control (MPC) algorithm is presented. With the use of indicator function and by introducing extra consensus constraints, the constrained MPC problem can be formulated as a separable MPC problem, which can be computed very efficiently by projected gradient descent ADMM update steps and Riccati recursions. The sequence of the objective value of this constrained real-time ADMM-type MPC algorithm satisfies a linear convergence rate. The procedure is also extended to distributed systems with constraints, in which the variables of each subsystems communicate with their neighbors and update in the Gauss-Seidel way. An illustrative example shows the effectiveness of this approach. © IFAC.

关键词： Model predictive control

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Algorithm for fast determination of LiFePO4 battery nominal current

Algorithm for fast determination of LiFePO4 battery nominal ...

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Proceedings of the International Convention MIPRO

作者： Igor Sirotić Viktor Šunde Željko Ban Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Zagreb Croatia Faculty of Electrical Engineering and Computing Department of Control and Computing Engineering Zagreb Croatia

The development of production and increasing usage of light electric vehicles such as electric bicycles and electric scooters entails development of batteries, battery chargers and fast charging algorithms. Batteries with different nominal electrical characteristics and production technologies are currently in use. Among them, lithium-iron batteries are increasingly being used. The differences in basic characteristics of batteries and standardization issues require fast identification of various battery types and adapting of charging algorithms according to nominal current, voltage, capacity and state of charge. This paper describes a method for determining the nominal current for unknown LiFePO 4 battery connected to the stationary filling station for charging electric bicycles. A prerequisite for determination of the rated current is identification of current-voltage curve at the moment of connection and identification of the number of cells. The algorithm for determining these parameters is given in the first part of the paper. The second part deals with determination of the nominal current for LiFePO 4 battery based on current-voltage response to the selected battery charging algorithm.

关键词： Batteries System-on-chip Voltage measurement Temperature measurement Load modeling Current measurement Battery charge measurement

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${\cal L}_1$ Adaptive Speed control of a Small Wind Energy Conversion System for Maximum Power Point Tracking

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IEEE Transactions on Energy Conversion 2014年第3期29卷 576-584页

作者： Haoran Zhao Qiuwei Wu Claus Nygaard Rasmussen Mogens Blanke Center for Electric Power and Energy Department of Electrical Engineering Technical University of Denmark Kongens Lyngby Denmark Automation and Control Group Department of Electrical Engineering Technical University of Denmark Kongens Lygnby Denmark

This paper presents the design of an L 1 adaptive controller for maximum power point tracking (MPPT) of a small variable speed wind energy conversion system (WECS). The proposed controller generates the optimal torque command for the vector-controlled generator-side converter based on the wind speed estimation. The proposed MPPT control algorithm has a generic structure and can be used for different generator types. In order to verify the efficacy of the proposed L 1 adaptive controller for the MPPT of the WECS, a full converter wind turbine with a squirrel cage induction generator is used to carry out case studies using MATLAB/Simulink. The case study results show that the designed L 1 adaptive controller has good tracking performance even with unmodeled dynamics and in the presence of parameter uncertainties and unknown disturbances.

关键词： Wind turbines Wind speed Generators Torque Maximum power point trackers Rotors Aerodynamics

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Calculation of critical fault recovery time for nonlinear systems based on region of attraction analysis 19

Calculation of critical fault recovery time for nonlinear sy...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Tabatabaeipour, S. Mojtaba Blanke, Mogens Automation and Control Group Dept. of Electrical Engineering Technical University of Denmark Lyngby2800 Kgs. Denmark AMOS CoE Institute for Technical Cybernetics Norwegian University of Science and Technology Trondheim7491 Norway

ISBN: (纸本)9783902823625

In safety critical systems, the control system is composed of a core control system with a fault detection and isolation scheme together with a repair or a recovery strategy. The time that it takes to detect, isolate, and recover from the fault (fault recovery time) is a critical factor in safety of a system. It must be guaranteed that the trajectory of a system subject to fault remains in the region of attraction (ROA) of the post-fault system during this time. This paper proposes a new algorithm to compute the critical fault recovery time for nonlinear systems with polynomial vector fields using sum of squares programming. The proposed algorithm is based on computation of ROA of the recovered system and finite-time stability of the faulty system. © IFAC.

关键词： Fault detection

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A Selective Moving Window Partial Least Squares Method and Its Application in Process Modeling

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Chinese Journal of Chemical engineering 2014年第7期22卷 799-804页

作者：徐欧官傅永峰苏宏业李丽娟 Zhijiang College Zhejiang University of Technology State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University College of Automation and Electrical Engineering Nanjing University of Technology

A selective moving window partial least squares(SMW-PLS) soft sensor was proposed in this paper and applied to a hydro-isomerization process for on-line estimation of para-xylene(PX) content. Aiming at the high frequency of model updating in previous recursive PLS methods, a selective updating strategy was developed. The model adaptation is activated once the prediction error is larger than a preset threshold, or the model is kept *** a result, the frequency of model updating is reduced greatly, while the change of prediction accuracy is *** performance of the proposed model is better as compared with that of other PLS-based model. The compromise between prediction accuracy and real-time performance can be obtained by regulating the threshold. The guidelines to determine the model parameters are illustrated. In summary, the proposed SMW-PLS method can deal with the slow time-varying processes effectively.

关键词： SMW-PLS Hydro-isomerizafion process Selective updating strategy Soft sensor

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