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STATE FEEDBACK STABILIZATION FOR A CLASS OF NONLINEAR TIME-DELAY systems VIA DYNAMIC LINEAR controlLERS

Journal of systems Science & Complexity 2014年第3期27卷 453-462页

作者： CHAI Lin QIAN Chunjiang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Department of Electrical and Computer Engineering University of Texas at San AntonioSan AntonioTX 78249USA

The dynamic linear state feedback control problem is addressed for a class of nonlinear systems subject to ***,using the dynamic change of coordinates,the problem of global state feedback stabilization is solved for a class of time-delay systems under a type of nonhomogeneous growth *** the aid of an appropriate Lyapunov-Krasovskii functional and the adaptive strategy used in coordinates,the closed-loop system can be globally asymptotically stabilized by the dynamic linear state feedback *** growth condition in perturbations are more general than that in the existing *** correctness of the theoretical results are illustrated with an academic simulation example.

关键词： Dynamic linear controller global stabilization nonlinear time-delay systems state feed-back control.

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Self-optimizing Production systems

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Procedia CIRP 2016年 41卷 417-422页

作者： Eike Permin Felix Bertelsmeier Matthias Blum Jennifer Bützler Sebastian Haag Sinem Kuz Denis Özdemir Sebastian Stemmler Ulrich Thombansen Robert Schmitt Christian Brecher Christopher Schlick Dirk Abel Reinhart Poprawe Peter Loosen Wolfgang Schulz Günther Schuh Fraunhofer Institute for Production Technology (IPT) Steinbachstraße 17 52064 Aachen Germany Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University Steinbachstraße 53 52074 Aachen Institute for Industrial Management (FIR) at RWTH Aachen University Campus-Boulevard 55 52074 Aachen Institute of Industrial Engineering and Ergonomics (IAW) of RWTH Aachen Bergdriesch 27 52062 Aachen Institute of Automatic Control (IRT) Steinbachstraße 54 52074 Aachen Fraunhofer Institute for Laser Technology (ILT) Steinbachstraße 15 52074 Aachen Germany Chair for Laser Technology (LLT) at RWTH Aachen University Steinbachstrasse 15 52074 Aachen Germany Chair for Technology of Optical Systems (TOS) at RWTH Aachen University Steinbachstrasse 15 52074 Aachen Germany Department Nonlinear Dynamics of Laser Processing (NLD) at RWTH Aachen University Steinbachstrasse 15 52074 Aachen Germany

Today's manufacturers are facing numerous challenges such as highly entangled and interconnected supply chains, shortening product lifecycles and growing product complexity. They thus feel the need to adjust and adapt faster on all levels of value creation. Self-optimization as a basic principle appears a promising approach to handle complexity and unforeseen disturbances within supply chains, machines and processes. Therefore it will improve the resilience and competitiveness of manufacturing companies. This paper gives an introduction to the concept of self-optimizing production systems. After a short historical review, the different levels of value creation from supply chain design and management to manufacturing and assembly are analyzed considering their specific demands and needs for self-optimization. Examples from each of these levels are used to illustrate the concept of self-optimization as well as to outline its potential for flexibility and productivity. This paper closes with an outlook on the current scientific work and promising new fields of action.

关键词： Artificial intelligence Optimization control Management

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Boundedness of Synchronverters

Boundedness of Synchronverters

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European control Conference

作者： George C. Konstantopoulos Qing-Chang Zhong Beibei Ren Miroslav Krstic Department of Automatic Control and Systems Engineering The Univesity of Sheffield Department of Electrical and Computer Engineering Illinois Institute of Technology Department of Mechanical Engineering Texas Tech University Department of Mechanical and Aerospace Engineering University of California

ISBN: (纸本)9781467371605

Synchronverters are grid-friendly inverters that mimic the operation of conventional synchronous generators. In this paper, the non-linear stability of the synchronverter in the sense of boundedness is investigated and proven for the first time. To this end, initially, the complete non-linear model of the synchronverter is obtained and then the field-excitation current loop of the synchronverter is implemented using a bounded integral control (BIC) structure, as proposed by the authors in the literature. While maintaining the original synchronverter operation near the rated value, the BIC additionally guarantees that the field-excitation current will remain bounded in a given range. Using non-linear analysis and input-to-state stability theory, it is proven that the frequency dynamics will remain bounded which leads to a bounded synchronverter voltage and finally results in the stability of the closed-loop system in the sense of boundedness. Extensive simulation results verify that the proposed synchronverter with the BIC approximates the behavior of the original synchronverter near the rated value with a guaranteed bounded performance.

关键词： Stability analysis Power system stability Inverters Integral equations Frequency synchronization Reactive power Mathematical model

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Parameter Identification in Structured Discrete-Time Uncertainties without Persistency of Excitation

Parameter Identification in Structured Discrete-Time Uncerta...

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European control Conference

作者： Ouboti Djaneye-Boundjou Raul Ordonez Electrical Engineering Control Systems at the University of Dayton Department of Electrical and Computer Engineering University of Dayton

ISBN: (纸本)9781467371605

Concurrent Learning has been previously used in continuous-time uncertainty estimation problems and adaptive control to solve the parameter identification problem without requiring persistently exciting inputs. Specifically selected past data are jointly combined with current data for adaptation. Here, we extend the parameter identification problem results of Concurrent Learning for structured uncertainties in the continuous-time domain to the discrete-time domain. Alike the continuous-time case, we show that, in discrete-time, a sufficient, testable on-line and less restrictive condition compared to persistency of excitation guarantees global exponential stability of the parameter error when using Concurrent Learning.

关键词： Uncertainty History Convergence Eigenvalues and eigenfunctions Chlorine Adaptive control Estimation error

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Day-ahead market mode with power consumers participation in wind power accommodation

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Dianli Xitong Zidonghua/Automation of Electric Power systems 2015年第17期39卷 120-126页

作者： Xia, Ye Kang, Chongqing Chen, Tianen Li, Yan Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing100084 China Northwest Branch of State Grid Corporation of China Xi'an710048 China

Facing the wind power accommodation difficulties revealed in 'Northwest, North and Northeast China' region during heating season overlapping wind resource surplus season, a novel day-ahead market mode is proposed to encourage power consumers to participate in wind power accommodation based on the market reform plan of direct electricity purchase by major power consumers. Based on power consumer and generation company direct transactions in the spot market environment, the day-ahead market mode with power consumers participating in wind power accommodation is designed including transaction application, transaction clearing, transaction settlement and market organization. A day-ahead market model is developed with power consumers participation in the wind power accommodation mode taken into account alongside individual demands of each power consumer's power consumption profile and bidding price limits on power consumers. The rationality and effectiveness of the proposed market mode and model is validated by numerical results. ©2015 Automation of Electric Power systems Press

关键词： Wind power

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Photovoltaic plant Operating Statuses Identification model based on support vector machine using loss quantity of electricity feature parameters

Photovoltaic plant Operating Statuses Identification model b...

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International Conference on Renewable Power Generation, RPG 2015

作者： Li, Kangping Wang, Fei Zhen, Zhao Sun, Yujing Mi, Zengqiang Sun, Hongbin Liu, Chun Wang, Bo Lu, Jing State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding Hebei Province071003 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China China Electric Power Research Institute Haidian District Beijing100192 China

ISBN: (纸本)9781785610400

Operating Statuses Identification (OSI) can help operators to find fault timely and minimize the loss. So it is of great significance for optimal operation of photovoltaic (PV) plants. The loss quantity of electricity (LQOE) is defined as that should have been generated but actually not, which is caused by inverter fault, PV modules fault, dust stratification or combinations of them. Firstly, mathematical models of PV cells are proposed to figure out the LQOE of each PV module. Secondly, after analysing the relation between LQOE and operating statuses, an index set of LQOE describing the distinction of different operating statuses are defined including four statistical feature parameters and a user-defined index. Thirdly, Support Vector Classification models for OSI (OSI-SVC) are built with input features extracted from the index set. Lastly, simulations are carried out to verify the effectiveness and evaluate the performance of the OSI-SVC models. The results indicated that the operating statuses can be effectively recognized by the proposed model.

关键词： Support vector machines

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Cloud identification model for sky images based on Otsu

Cloud identification model for sky images based on Otsu

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International Conference on Renewable Power Generation, RPG 2015

作者： Li, Hongping Wang, Fei Ren, Hui Sun, Hongbin Liu, Chun Wang, Bo Lu, Jing Zhen, Zhao State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding Hebei Province071003 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China China Electric Power Research Institute Haidian District Beijing100192 China

ISBN: (纸本)9781785610400

Irradiance changes caused by clouds movement are the mam factors, which lead to mutation of photovoltaic power. In order to increase the accuracy of the ultra-short-term photovoltaic power prediction, based on of clouds images, the cloud identification for sky images is one of the primary aspects for improving photovoltaic power accuracy. A cloud identification model for sky images is established based on Otsu. Firstly, a series of sky images are collected by Total Sky Imager (TSI) with the regions of clouds and sky are distinguished. Secondly, the color features (based on RGB values) of pixels in sample images and the spectral and texture features of the whole image are extracted;Finally, we established a cloud identification model for sky images based on Otsu according to the clouds' and sky areas' division and the general characteristics featured by pixels and images. The simulated results show that the model in this paper can identify the clouds in a sky images effectively.

关键词： Pixels

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Short-term prediction model of module temperature for photovoltaic power forcasting based on support vector machine

Short-term prediction model of module temperature for photov...

引用

International Conference on Renewable Power Generation, RPG 2015

作者： Sun, Yujing Wang, Fei Mi, Zengaiang Sun, Hongbin Liu, Chun Wang, Bo Lu, Jing Zhen, Zhao Li, Kangping State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding Hebei Province071003 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China China Electric Power Research Institute Haidian District Beijing100192 China

ISBN: (纸本)9781785610400

To improve the prediction accuracy of photovoltaic (PV) power generation, the temperature of PV modules and its prediction is very important. A short-term step-wise temperature prediction model for PV module based on Support Vector Machine (SVM) is proposed in this paper. Firstly, the primary impact factors of PV module temperature are determined in terms of the PV module physical characteristics and the correlation coefficient between each factor and module temperature. Secondly, two kinds of prediction models, direct and step-wise models, are built to predict module temperature respectively. For direct model, the prediction model is based on SVM using the historical data. For step-wise one, the prediction models of the primary impact factors are built at the first step and then the mapping models between module temperature and the impact factors are established. In the end, the deviations of two different kinds of prediction models are analyzed and discussed based on actual operation data. The results indicate that the stepwise prediction model has better accuracy than the direct prediction model if other things are equal.

关键词： Forecasting

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Fuel efficiency improvement by optimal scheduling of diesel generators using PSO in offshore support vessel with DC power system architecture

Fuel efficiency improvement by optimal scheduling of diesel ...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Priyesh J. Chauhan K. Srinivasa Rao Sanjib K. Panda Gary Wilson Xiong Liu Amit Kumar Gupta Department of Electrical and Computer Engineering National University of Singapore Singapore National University of Singapore Singapore SG Electrical Power and Control Systems Rolls-Royce Singapore Pte. Ltd. Singapore

ISBN: (纸本)9781467381338

This paper presents optimal generation scheduling for minimization of fuel consumption (FC) in a typical offshore support vessel with DC power system architecture employing four identical diesel generator (DG) sets. FC is analyzed for (i) equal load sharing among DGs in AC architecture, (ii) equal load sharing among DGs in DC architecture and (iii) optimal load sharing among DGs in DC architecture using Particle Swarm Optimization (PSO). Due to the presence of non-linearity in Specific FC (SFC) curves of the diesel engines, the PSO algorithm is used. The SFC-vs-load relationship obtained from Brake SFC (BSFC) map of the diesel engines is characterized using a Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) interpolation. A solution to problem has been attained by comparing yearly fuel consumption in the three cases for the load profile of target vessel. This method can be applied to any vessel equipped with multiple generation units having DC power system architecture.

关键词： Fuels Diesel engines Power systems Computer architecture Loading Optimal scheduling Marine vehicles

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Space QUEST mission proposal: Experimentally testing decoherence due to gravity

arXiv

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arXiv 2017年

作者： Joshi, Siddarth Koduru Pienaar, Jacques Ralph, Timothy C. Cacciapuoti, Luigi McCutcheon, Will Rarity, John Giggenbach, Dirk Lim, Jin Gyu Makarov, Vadim Fuentes, Ivette Scheidl, Thomas Beckert, Erik Bourennane, Mohamed Bruschi, David Edward Cabello, Adan Capmany, Jose Carrasco-Casado, Alberto Diamanti, Eleni Dusek, Miloslav Elser, Dominique Gulinatti, Angelo Hadfield, Robert H. Jennewein, Thomas Kaltenbaek, Rainer Krainak, Michael A. Lo, Hoi-Kwong Marquardt, Christoph Milburn, Gerard Peev, Momtchil Poppe, Andreas Pruneri, Valerio Renner, Renato Salomon, Christophe Skaar, Johannes Solomos, Nikolaos Stipčević, Mario Torres, Juan P. Toyoshima, Morio Villoresi, Paolo Walmsley, Ian Weihs, Gregor Weinfurter, Harald Zeilinger, Anton Zukowski, Marek Ursin, Rupert Institute for Quantum Optics and Quantum Information Austrian Academy of Sciences Boltzmanngasse 3 ViennaA-1090 Austria Centre for Quantum Computation & Communication Technology Department of Physics University of Queensland St LuciaQLD4072 Australia European Space Agency Keplerlaan 1 - P.O. Box 299 AG Noordwijk ZH2200 Netherlands Department of Electrical and Electronic Engineering University of Bristol Merchant Venturers Building Woodland Road BristolBS8 1UB United Kingdom German Aerospace Center Institute of Communications and Navigation Muenchner Strasse 20 Wessling82234 Germany Institute for Quantum Computing Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada Institute for Quantum Computing Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Precision Engineering Department Fraunhofer IOF Albert-Einstein-Straße 7 Jena07745 Germany Physics department Stockholm University Albanova universitetscentrum Universitetsvägen 10 Stockholm114 18 Sweden York Centre for Quantum Technologies Department of Physics University of York HeslingtonYO10 5DD United Kingdom University of Seville SevillaE-41012 Spain iTEAM Research Institute Universitat Politcnica de Valencia Valencia46022 Spain 4-2-1 Nukui-Kitamachi Koganei Tokyo184-8795 Japan CNRS Universite Pierre et Marie Curie Paris75005 France Department of Optics Faculty of Science Palacky University 17. Iistopadu 12 Olomouc772 00 Czech Republic Max Planck Institute for the Science of Light Bldg. 24 Günther-Scharowsky Str. 1 ErlangenD-91058 Germany Piazza Leonardo da Vinci 32 Milano20133 Italy School of Engineering University of Glasgow GlasgowG12 8LT United Kingdom Vienna Center of Quantum Science and Technology Faculty of Physics University of Vienna Boltzmanngasse 5 ViennaA-1090 Austria NASA Goddard Space Flight Center GreenbeltMD20771 United States Center for Quantum Information and Quantum Con

Models of quantum systems on curved space-times lack sufficient experimental verification. Some speculative theories suggest that quantum properties, such as entanglement, may exhibit entirely different behavior to purely classical systems. By measuring this effect or lack thereof, we can test the hypotheses behind several such models. For instance, as predicted by Ralph and coworkers [T C Ralph, G J Milburn, and T Downes, Phys. Rev. A, 79(2):22121, 2009;T C Ralph and J Pienaar, New Journal of Physics, 16(8):85008, 2014], a bipartite entangled system could decohere if each particle traversed through a different gravitational field gradient. We propose to study this effect in a ground to space uplink scenario. We extend the above theoretical predictions of Ralph and coworkers and discuss the scientific consequences of detecting/failing to detect the predicted gravitational decoherence. We present a detailed mission design of the European Space Agency's (ESA) Space QUEST (Space - Quantum Entanglement Space Test) mission, and study the feasibility of the mission scheme. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum entanglement

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