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International Conference in Energy and Sustainability in Small Developing Economies (ES2DE)

作者： Alena Košťálová Pedro M. S. Carvalho Marek Kubalčík Dep. of Computer and Communication Systems Tomas Bata University in Zlin Czech Republic Electrical Engineering and Computer Dep. Instituto Superior Tecnico Lisbon Portugal Department of Process Control Tomas Bata University in Zlin Czech Republic

The demand on distribution network reconfiguration abilities is increasing. This paper proposes a Finite State Automaton model of a distribution network that deals with topologically safe reconfiguration. Autonomous operation of distribution networks can be designed, analysed and implemented in day-to-day operation with the aid of these automata: through supervisory control. Two approaches to supervisor design are proposed. One for the normal operating mode and the other for the contingency mode. Simple and comprehensive examples illustrate the approaches.

关键词： Switches Automata Power cables Substations Electronic mail Power system reliability

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Amidst centralized and distributed frequency control in power systems

Amidst centralized and distributed frequency control in powe...

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American control Conference

作者： Florian Dorfler Sergio Grammatico Automatic Control Laboratory ETH Zurich Switzerland Control Systems group Dep. of Electrical Engineering Eindhoven University of Technology The Netherlands

ISBN: (纸本)9781467386838

We propose a novel frequency control approach in between centralized and distributed architectures, that is a generalized continuous-time feedback control version of the dual decomposition optimization method. Specifically, a convex combination of the frequency measurements is centrally aggregated and followed by an integral control, which is broadcast as the control signal, and then by the optimal local allocations. We show that our controller comprises many previously proposed strategies for specific parameter sets. Under mild parametric assumptions, we prove local asymptotic stability of the closed-loop equilibria of the power system, which is modeled as a nonlinear, differential-algebraic, dynamical system that includes traditional generators, frequency-responsive as well as passive loads, where the sources are already equipped with primary droop control. Our feedback control is designed such that the closed-loop equilibria of the power system solve the optimal economic dispatch problem.

关键词： Atmospheric measurements Particle measurements Particle measurements power systems atmospheric monitoring Frequency control frequency measurement feedback control integral control asymptotic stability region

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Rational iterative feedforward tuning: Approaches, stable inversion, and experimental comparison

Rational iterative feedforward tuning: Approaches, stable in...

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American control Conference

作者： Lennart Blanken Frank Boeren Dennis Bruijnen Tom Oomen Eindhoven University of Technology Dep. of Mechanical Engineering Control Systems Technology Group The Netherlands Philips Innovation Services Mechatronics Technologies group Eindhoven The Netherlands

ISBN: (纸本)9781467386838

Feedforward control plays a key role in achieving high performance for industrial motion systems that perform non-repeating motion tasks. Recently, learning techniques have been proposed to further improve both performance and robustness to non-repeating tasks by using a rational feedforward basis. The aim of this paper is to propose a unifying framework which connects these approaches. Experimental results on an industrial motion system validate the approaches and illustrate benefits of rational feedforward tuning in motion systems, including pre- and post-actuation through stable inversion.

关键词： Feedforward neural networks Extrapolation Iterative methods Tuning Convolution Optimization Parametric statistics feedforward neural nets tuning iterative methods Convolution extrapolation method Parametric statistics FEEDFORWARD Rational number FEEDFORWARD control

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Stability analysis and sliding mode control of a single spherical bubble dynamics

Stability analysis and sliding mode control of a single sphe...

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American control Conference

作者： Mahmoud Najafi Masoumeh Azadegan Mohammad Taghi Beheshti Mathematical science Kent State University OH USA Systems Life Sciences and Control Engineering (Sylicon) Lab. Tarbiat Modares University Tehran Iran Dep. of ECE. Tarbiat Modares University (TMU) Tehran Iran

ISBN: (纸本)9781467386838

The goal of the present paper is to apply control techniques to determine the Blake cavitation threshold for adiabatic bubbles. Considering state space representation of Rayleigh-Plesset (RP) equation, a stability condition is derived to predict the threshold for cavitation which was determined beforehand by mechanical bias. Moreover, sliding mode control has been utilized to regulate the radius of a single spherical bubble to the desired value to prevent collapse occurrence which has a great importance in some industrial applications. Simulation results are presented to show the effectiveness of the proposed method.

关键词： Stability analysis Mathematical model Thermal stability Analytical models Sliding mode control Liquids Numerical stability Variable structure systems Stability analysis Numerical stability ANALYSIS MODELS liquids Mathematical Model thermal stability bubbles State-space Representation CAVITATION

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Approximate capacity of the Gaussian interference channel with noisy channel-output feedback

Approximate capacity of the Gaussian interference channel wi...

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IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Victor Quintero Samir M. Perlaza Iñaki Esnaola Jean-Marie Gorce The CITI Laboratory a joint lab between the Institut National de Recherche en Informatique et en Automatique (INRIA) Institut National de Sciences Apliquées (INSA) de Lyon France Victor Quintero is also with Universidad del Cauca Popayán Colombia Dep. of Automatic Control and Systems Engineering The University of Sheffield United Kingdom

In this paper, an achievability region and a converse region for the two-user Gaussian interference channel with noisy channel-output feedback (G-IC-NOF) are presented. The achievability region is obtained using a random coding argument and three well-known techniques: rate splitting, superposition coding and backward decoding. The converse region is obtained using some of the existing perfect-output feedback outer-bounds as well as a set of new outer-bounds that are obtained by using genie-aided models of the original G-IC-NOF. Finally, it is shown that the achievability region and the converse region approximate the capacity region of the G-IC-NOF to within a constant gap in bits per channel use.

关键词： Transmitters Receivers Encoding Noise measurement Decoding Interference channels Random variables

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Robust Power Management control for Stand-Alone Hybrid Power Generation System

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Journal of Physics: Conference Series 2017年第1期783卷

作者： Elkhatib Kamal Lounis Adouane Abdel Aitouche Walaa Mohammed Industrial Electronics and Control Department Faculty of Electronic Engineering Menoufia University Menouf Egypt and Institut Pascal / IMobS3 Blaise Pascal University–UMR CNRS 6602 Clermont-Ferrand France. Institut Pascal / IMobS3 Blaise Pascal University – UMR CNRS 6602 Clermont-Ferrand France Laboratory CRISTAL (Center of Research in Informatics Signal and Automatic in Lille) University of Lille 1 France Industrial Electronics and Control Dep. Faculty of Electronic Engineering Menoufia University Menouf Egypt

This paper presents a new robust fuzzy control of energy management strategy for the stand-alone hybrid power systems. It consists of two levels named centralized fuzzy supervisory control which generates the power references for each decentralized robust fuzzy control. Hybrid power systems comprises: a photovoltaic panel and wind turbine as renewable sources, a micro turbine generator and a battery storage system. The proposed control strategy is able to satisfy the load requirements based on a fuzzy supervisor controller and manage power flows between the different energy sources and the storage unit by respecting the state of charge and the variation of wind speed and irradiance. Centralized controller is designed based on If-Then fuzzy rules to manage and optimize the hybrid power system production by generating the reference power for photovoltaic panel and wind turbine. Decentralized controller is based on the Takagi-Sugeno fuzzy model and permits us to stabilize each photovoltaic panel and wind turbine in presence of disturbances and parametric uncertainties and to optimize the tracking reference which is given by the centralized controller level. The sufficient conditions stability are formulated in the format of linear matrix inequalities using the Lyapunov stability theory. The effectiveness of the proposed Strategy is finally demonstrated through a SAHPS (stand-alone hybrid power systems) to illustrate the effectiveness of the overall proposed method.

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Indirect solution for optimal control problems with a pure state constraint 19

Indirect solution for optimal control problems with a pure s...

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

作者： Van Keulen, Thijs Eindhoven University of Technology Dep. of Mechanical Engineering Control Systems Technology Group Netherlands

ISBN: (纸本)9783902823625

This paper presents an algorithm that provides a regularization for the costate dynamics of state constrained optimal control problems with a scalar constraint under the assumption that the Hamiltonian is convex in the control and the state dynamics equation of the constrained state is monotonically increasing in the control variable. The algorithm is demonstrated with a classical optimal control problem. © IFAC.

关键词： Equations of state

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E2GK-pro: An evidential evolving multimodeling approach for systems behavior prediction

E2GK-pro: An evidential evolving multimodeling approach for ...

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2011 Annual Conference of the Prognostics and Health Management Society, PHM 2011

作者： Serir, Lisa Ramasso, Emmanuel Zerhouni, Noureddine FEMTO-ST Institute UMR CNRS 6174-UFC/ENSMM/UTBM Automatic Control and Micro-Mechatronic Systems Dep. Besançon25000 France

ISBN: (纸本)9781936263035

Nonlinear dynamic systems identification and nonlinear dynamic behavior prediction are important tasks in several areas of industrial applications. Multiple works proposed multimodel-based approaches to model nonlinear systems. Multimodeling permits to blend different model types together to form hybrid models. It advocates the use of existing, well known model types within the same model structure. Recently, a multimodeling strategy based on belief functions theory was developed based on a fuzzy rule based system. We propose a different approach of this latter taking advantage of new efficient evidential clustering algorithms for the determination of the local models and the assessment of the global model. In particular, we propose an online procedure based on the Evidential Evolving Gustafsson-Kessel (E2GK) algorithm that ensures an evolving partitioning of the data into clusters that correspond to operating regions of the global system. Thus the estimation of the local models is dynamically performed by upgrading and modifying their parameters while the data arrive. Each local model is weighted by a belief mass provided by E2GK, and the global model (multimodel) is a combination of all the local models.

关键词： Clustering algorithms

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Indirect solution for optimal control problems with a pure state constraint

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IFAC Proceedings Volumes 2014年第3期47卷 2456-2461页

作者： Thijs van Keulen Eindhoven University of Technology Dep. of Mechanical Engineering Control Systems Technology group

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Accuracy Aspects in Motion Feedforward Tuning

Accuracy Aspects in Motion Feedforward Tuning

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American control Conference

作者： Frank Boeren Tom Oomen Maarten Steinbuch Eindhoven University of Technology Dep. of Mechanical Engineering Control Systems Technology Group Eindhoven The Netherlands

ISBN: (纸本)9781479932757

Feedforward control can significantly improve the performance of a motion system through compensation of known disturbances. Recently, new feedforward algorithms have been proposed that exploit measured data from previous tasks and a suitable feedforward parametrization to attain high performance. The aim of this paper is to analyze the accuracy of these approaches. To achieve this, related results from closed-loop identification are exploited in feedforward control. Furthermore, a new algorithm is proposed that leads to optimal accuracy. The results are confirmed in a simulation study of a motion system.

关键词： FEEDFORWARD FEEDFORWARD control tuning compensated

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