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International Conference on systems and control (ICSC)

作者： Crina-Loredana Torous Dumitru Popescu Catalin Petrescu Dragos-Viorel Balan Department of Automatic Control and Systems Engineering UPB Bucharest Romania

ISBN: (纸本)9781467389549

The paper proposes an extremal control method through the design of a RST controller for a step-down DC-DC Buck Converter fed by a BGSP - P225 PV array. The input voltage for the converter is kept at the photovoltaic panel's maximum value by means of search algorithms for determining the Maximum Power Point. The algorithms used are Coggin's algorithm for the single variable dependent model P(U) and the gradient algorithm is used for the P(I,U) model. The voltage value can after that be identified again for different iradiance and temperature conditions. This gives the converter an extremal input voltage. Next, a dynamic model has been determined for the closed loop control system, starting from the converter's electrical components equations. A numerical RST controller used to achieve the performances of the system, was designed. A robustness analyses and correction has been performed for the RST polynomial control. The achieved performances of the DC-DC converter are validated through simulation by using the MATLAB / SIMULINK environment and the WinReg dedicated software. The novelty of the paper resides in the design of the RST controller for a photovoltaic panel and the robustness analysis.

关键词： Mathematical model Photovoltaic systems control systems Robustness Modeling Voltage control

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Measurement-based solution for low frequency oscillation analysis

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Journal of Modern Power systems and Clean Energy 2016年第3期4卷 406-413页

作者： Chen SHEN Zhi AN Xianzhong DAI Wei WEI Lijie DING Department of Electrical Engineering Tsinghua UniversityBeijingChina State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua UniversityBeijingChina Electric Power Research Institute of Sichuan Electric Power Company ChengduChina

This paper presents a measurement-based solution for low frequency oscillation(LFO) analysis in both real time monitoring and off-line case study. An online LFO property discrimination method is developed first,which alternately uses empirical mode decomposition(EMD)/Hilbert transform(HT) and square calculation to process the measurement data. The method magnifies the variation trend of oscillating variables to accurately discriminate the property of the oscillation. Subsequently, an oscillation source locating method for the forced oscillation(FO) and a strongly correlated generator identification method for the weak damping oscillation(WDO) are proposed. Finally, numerical study results on a test system of the isolated Changdu grid in Tibet validate the proposed methods.

关键词： Low frequency oscillation Oscillation property discrimination Oscillation source location Strongly correlated generator identification

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Traffic state estimation via a particle filter with compressive sensing and historical traffic data

Traffic state estimation via a particle filter with compress...

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International Conference on Information Fusion

作者： Matthew Hawes Hayder M Amer Lyudmila Mihaylova Department of Automatic Control and Systems Engineering University of Sheffield UK

ISBN: (纸本)9781509020126

In this paper we look at the problem of estimating traffic states within segments of road using a particle filter and traffic measurements at the segment boundaries. When there are missing measurements the estimation accuracy can decrease. We propose two methods of solving this problem by estimating the missing measurements by assuming the current measurements will approach the mean of the historical measurements from a suitable time period. The proposed solutions come in the form of an l 1 norm minimisation and a relevance vector machine type optimisation. Test scenarios involving simulated and real data verify that an accurate estimate of the traffic measurements can be achieved. These estimated missing measurements can then be used to help to improve traffic state estimation accuracy of the particle filter without a significant increase in computation time. For the real data used this can be up to a 23.44% improvement in RMSE values.

关键词： Vehicles Roads Current measurement Mathematical model State estimation Atmospheric measurements

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Robot 2015: Second Iberian Robotics conference: Advances in robotics, volume 1 2nd

Robot 2015: Second Iberian Robotics conference: Advances in ...

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2nd Iberian Robotics Conference, ROBOT 2015

作者： Reis, Luís Paulo Moreira, António Paulo Lima, Pedro U. Montano, Luis Muñoz-Martinez, Victor University of Minho School of Engineering Information Systems Department Guimarães Portugal University of Porto INESC-TEC Porto Portugal University of Lisbon Instituto Superior Técnico Institute for Systems and Robotics Lisboa Portugal University of Zaragoza School of Engineering and Architecture Computer Systems Engineering Department Zaragoza Spain University of Malaga Superior Technical School of Industrial Engineers Automatic Control Systems Engineering Department Málaga Spain

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Robustness of controllability for Scale-free Networks Based on a Nonlinear Load-Capacity Model

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IFAC-PapersOnLine 2016年第4期49卷 37-42页

作者： Fu, Yingbin Wang, Lei Chen, Michael Z.Q. School of Mathematics and Systems Science Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Key Laboratory of Control Engineering of Henan Province Henan Polytechnic University Henan454000 China Department of Mechanical Engineering University of Hong Kong 999077 Hong Kong

Based on a nonlinear load-capacity model, the network evolution and controllability evolution of scale-free networks under the cascading failures triggered by removing the highest-load edge are simulated and discussed in this paper. It is shown by numerical simulations that the controllability evolution is consistent with the average degree evolution rather than the power law exponent evolution. Under the same network cost, it is found that the nonlinear load-capacity model exhibits the stronger robustness of controllability when the initial power law exponent of networks is small by comparing with the linear load-capacity model, while the linear load-capacity model is of stronger robustness of controllability when the initial power law exponent is large. Numerical results shows that high-load edges are becoming more critical to the robustness of controllability with the increase of initial power law exponent, and the nearly highest-load edges are becoming more critical with the increase of both initial average degree and power law exponent. © 2016, IFAC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： controllability Complex networks Average degree Cascading failures Linear loads Network costs Network evolution Nonlinear load Numerical results Power law exponent

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Supervisory observer for parameter and state estimation of nonlinear systems using the DIRECT algorithm

arXiv

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arXiv 2017年

作者： Chong, Michelle S. Postoyan, Romain Khong, Sei Zhen Nešić, Dragan Department of Automatic Control Lund University Sweden Université de Lorraine CRAN UMR 7039 CNRS CRAN UMR 7039 France Institute for Mathematics and Its Applications University of Minnesota MinneapolisMN55455 United States Department of Electrical and Electronic Engineering University of Melbourne Australia

A supervisory observer is a multiple-model architecture, which estimates the parameters and the states of nonlinear systems. It consists of a bank of state observers, where each observer is designed for some nominal parameter values sampled in a known parameter set. A selection criterion is used to select a single observer at each time instant, which provides its state estimate and parameter value. The sampling of the parameter set plays a crucial role in this approach. Existing works require a sufficiently large number of parameter samples, but no explicit lower bound on this number is provided. The aim of this work is to overcome this limitation by sampling the parameter set automatically using an iterative global optimisation method, called DIviding RECTangles (DIRECT). Using this sampling policy, we start with 1 + 2npparameter samples where npis the dimension of the parameter set. Then, the algorithm iteratively adds samples to improve its estimation accuracy. Convergence guarantees are provided under the same assumptions as in previous works, which include a persistency of excitation condition. The efficacy of the supervisory observer with the DIRECT sampling policy is illustrated on a model of neural populations. Copyright © 2017, The Authors. All rights reserved.

关键词： State estimation

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Interaction between magnetic and stress field in ferromagnetic core of magnetoelastic pressure force sensor

Interaction between magnetic and stress field in ferromagnet...

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International Conference on Modern electrical and Energy systems (MEES)

作者： Iveta Tomčíková Matej Bereš Irena Kováčová Viacheslav Melnykov Department of Theoretical and Industrial Electrical Engineering FEI Technical University of Košice Košice Slovak Republic Institute of Electromechanics Energy Saving and Control Systems Kremenchuk Mykhailo Ostrogradskyi National University Kremenchuk Ukraine

ISBN: (纸本)9781538617519

The paper deals with approximate solution of interaction between magnetic and stress fields in the ferromagnetic core of magnetoelastic sensor. The application of mechanical compressive force to the sensor results in mechanical stress within the core body and produces the variation of material permeability due to mechanical stress. The deformation of the magnetic field distribution and magnetic flux density caused by mechanical stress is given in graphical form.

关键词： Magnetic cores Stress Force Magnetostriction Magnetic flux density

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Conflict between energy, stability and robustness in production schedules

Conflict between energy, stability and robustness in product...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Nina Sundström Oskar Wigström Bengt Lennartson Nina Sundstrom Oskar Wigstrom Chalmers tekniska hogskola Goteborg SE Automation Research Group Division of Systems and Control Department of Electrical Engineering Chalmers University of Technology Horsalsvgen 9-11 plan 5-7 Gothenburg 412 96 Sweden

A systematic method to evaluate the conflict between robustness, stability and energy consumption is proposed in this paper. Energy optimization is combined with robust scheduling techniques to analyze the trade-off. In rescheduling, slack is often used to protect a schedule from disruptions. However, results from the literature on energy minimization show that a reduction in energy consumption is achieved by extending the execution time of operations. Thus, slack in schedules is diminished on behalf of longer execution times. The proposed method, which quantitatively shows this conflict, is based on a multi-objective optimization formulation where efficient computation of the involved criteria are developed. This includes a convex surrogate stability measure that makes it possible to evaluate different operation sequences by a mixed-integer nonlinear programming formulation. Previous work connecting the two research fields use simulation for analyzing the impact of disruptions in order to generate robust production schedules. Our results show that an increase in energy efficiency comes at a cost of reducing stability and robustness and hence becoming more sensitive to disruptions.

关键词： Schedules Automation Stability criteria Robustness Production control systems

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The electromagnetic equivalent modeling and simulation analysis of large size metal structure

The electromagnetic equivalent modeling and simulation analy...

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International Conference on electrical, control engineering and Computer Science, ECECS 2015

作者： Xie, Penghao Yuan, Jiansheng Bi, Junjian State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China Institute of Electrostatic and Electromagnetic Protection Mechanical Engineering College Shijiazhuang China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China Institute of Electrostatic and Electromagnetic Protection Mechanical Engineering College Shijiazhuang China

ISBN: (纸本)9781138029378

In order to study the electromagnetic coupling law of one typical metal body, electromagnetic simulation software FEKO is utilized to set up the typical metal body model. With the increase of the simulation frequency, different lengths of metal body internal coupling field curve gradually separated, has certain regularity of fitting. Preliminary determination by reducing the length of the metal equivalent for the test model is established and confirmed in law of fitting better experimental spectrum. © 2016 Taylor and Francis Group.

关键词： Metals

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Event-triggered active-passive dynamic consensus filters

Event-triggered active-passive dynamic consensus filters

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American control Conference

作者： J. Daniel Peterson Tansel Yucelen S. Jagannathan Eduardo Pasiliao the Mechanical and Aerospace Engineering Department and a member of the Advanced Systems Research Laboratory at the Missouri University of Science and Technology Rolla MO 65409 USA the Mechanical Engineering Department and the Director of the Laboratory for Autonomy Control Information and Systems at the University of South Florida Tampa FL 33620 USA the William A. Rutledge Distinguished Professor of the Electrical and Computer Engineering Department and Director of the Embedded Control Systems and Networking Laboratory at the Missouri University of Science and Technology Rolla MO 65409 USA the Air Force Research Laboratory Munitions Directorate Eglin Air Force Base FL 32542 USA

ISBN: (纸本)9781509045839

Multiagent systems consist of groups of agents that exchange local information to achieve given system-level goals. Traditionally, these systems assumed that all agents have some knowledge (e.g., observations of a process of interest) to contribute in order to achieve a common goal of interest, which may not be the case in many scenarios. Motivated from this standpoint, a new class of multiagent systems, active-passive multiagent systems, were recently proposed, which consists of agents subject to observations of a process of interest (i.e., active agents) and agents without any observations (i.e., passive agents). However, in this class of multiagent systems, agents need to continuously exchange information among themselves, incurring a high cost of interagent information exchange, and requiring that agents synchronize their update times. To address these shortcomings, this paper presents a new class of event-triggered active-passive dynamic consensus filters, in which agents schedule information exchange dependent on errors exceeding user-defined thresholds, significantly reducing the overall cost of interagent information exchange, and allowing agents to determine when to broadcast their information to their neighbors thus eliminating the need to synchronize their states. An illustrative numerical example is presented to demonstrate the efficacy of our approach.

关键词： consist groups agents

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