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Conference on control Applications

作者： Anders Bech Borchersen Jesper Abildgaard Larsen Rafael Wisniewski Vattenfall Wind Power A/S Denmark Section for Automation and Control Department of Electronic Systems Aalborg University Aalborg 9220 Denmark

ISBN: (纸本)9781479977970

Parameter estimation in switched systems is an interesting topic, since such vital models can be used for modeling a wide range of real life systems controlled by a hysteresis or other switching mechanics. In this work, a model for enabling the extended Kalman filter to estimate the parameters in such a switched hysteresis system is presented and tested. The nonlinear model used in the filter is found by a continuous approximation of the discrete switching function used for describing the switched systems. The proposed filter are tested which shows that the filter is able to estimate all the model parameters, this includes the parameters describing the switching. And since the EKF is a recursive filter the method is suitable for real life implementation, therefore a test on an actual data set from an operational turbine have been used with success to validate that the proposed method is actually applicable for parameter estimation in a real world switched system.

关键词： modeling range systems controlled

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Optimizing safety supervisors for wind turbines using barrier certificates 19

Optimizing safety supervisors for wind turbines using barrie...

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

作者： Laurijsse, M. Wisniewski, R. Weiland, S. Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands Section for Automation and Control Aalborg University Aalborg East9220 Denmark Control Systems Group Eindhoven University of Technology Eindhoven Netherlands

ISBN: (纸本)9783902823625

To avoid structural damage, a wind turbine is equipped with a safety supervisor that triggers an emergency shutdown procedure in case of internal faults or large wind gusts. This paper leverages the (compositional) barrier certificate framework for the design and optimization of such a supervisor. The problem is formulated as a sum of squares problem and is solved using semi-definite programming. Both a direct and compositional approach are successfully implemented and verified for the NREL 5MW reference turbine. In conclusion, the methods derived in this paper are indeed viable for the syntheses and optimization of safety systems for future wind turbines. © IFAC.

关键词： Wind turbines

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Fault detection and load distribution for the wind farm challenge 19

Fault detection and load distribution for the wind farm chal...

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

作者： Borcehrsen, Anders Bech Larsen, Jesper Abildgaard Stoustrup, Jakob Vattenfall R and D Oldenborggade 25-31 Fredericia7000 Denmark Section for Automation and Control Aalborg University Fredrik Bajers Vej 7 Aalborg9220 Denmark

ISBN: (纸本)9783902823625

In this paper a fault detection system and a fault tolerant controller for a wind farm model is designed and tested. The wind farm model is taken from the wind farm challenge which is a public available challenge where a wind farm consisting of nine turbines is proposed. The goal of the challenge is to detect and handle different faults occurring in the individual turbines on farm level. The fault detection system is designed such that it takes advantage of the fact that within a wind farm several of the turbines will be operating under similar conditions. To enable this the turbines are grouped into several groups of similar turbines, then the turbines within each group are used to generate residuals for the turbines in the group. The generated residuals are then evaluated using dynamical cumulative sum. The designed fault detection system is cable of detecting all three fault types occurring in the model. All the detections are not within the requirement of the challenge thus room for improvement. To take advantage of the fault detection system a fault tolerant controller for the wind farm has been designed. The fault tolerant controller is a dispatch controller which is estimating the possible power at each individual turbine, using these estimates to set the reference to the turbines accordingly. The fault tolerant controller has been compared to the reference controller from the challenge. And the fault tolerant controller is better than the reference controller on all measures both under normal and faulty conditions. Thus a fault detection system and a fault tolerant controller has been designed and combined. The fault tolerant control system has then been tested and compared to the reference system and shows improvement on all measures. © IFAC.

关键词： Fault detection

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Adaptive Backstepping control of Lightweight Tower Wind Turbine

Adaptive Backstepping Control of Lightweight Tower Wind Turb...

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American control Conference

作者： Roberto Galeazzi Kasper T. Borup Henrik Niemann Niels K. Poulsen Fabio Caponetti Automation and Control Group DTU Electrical Engineering Technical University of Denmark Kgs. Lyngby Denmark Centre for Autonomous Marine Operations and Systems Norwegian University of Science and Technology Trondheim Norway Section of Dynamical Systems DTU Compute Technical University of Denmark Kgs. Lyngby Denmark Vestas Wind Systems Aarhus Denmark

ISBN: (纸本)9781479917730

This paper investigates the feasibility of operating a wind turbine with lightweight tower in the full load region exploiting an adaptive nonlinear controller that allows the turbine to dynamically lean against the wind while maintaining nominal power output. The use of lightweight structures for towers and foundations would greatly reduce the construction cost of the wind turbine, however extra features ought be included in the control system architecture to avoid tower collapse. An adaptive backstepping collective pitch controller is proposed for tower point tracking control, i.e. to modify the angular deflection of the tower with respect to the vertical axis in response to variations in wind speed. The controller is shown to guarantee asymptotic tracking of the reference trajectory. The performance of the control system is evaluated through deterministic and stochastic simulations including an extreme wind gust event, and the feasibility of stabilizing the tower position while maintaining the rated power output is shown.

关键词： Poles and towers Wind turbines Rotors Aerodynamics Torque Wind speed Generators

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Robust Stability of Switched Systems

Robust Stability of Switched Systems

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IEEE Annual Conference on Decision and control

作者： Christoffer Sloth Rafael Wisniewski Section of Automation & Control Aalborg University 9220 Aalborg East Denmark

ISBN: (纸本)9781467360890

This paper presents a linear programming-based method for finding Lyapunov functions of switched systems with polynomial vector fields and parametric uncertainties. We propose to utilize a certificate of positivity in the Bernstein basis to find a Lyapunov function. A certificate of positivity in the Bernstein basis always exists if a polynomial is positive, and the Bernstein basis is shown to be well conditioned.

关键词： Switched systems Robust stability amber Licence Liapunov function Polynomial Vector field Basis

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Wake-effect Minimising Optimal control of Wind Farms, with Load Reduction

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IFAC Proceedings Volumes 2014年第3期47卷 6770-6775页

作者： Thomas Kongensbjerg Laursen Senthuran Sivabalan Anders Bech Borchersen Jesper Abildgaard Larsen Section for Automation and Control Aalborg University Fredrik Bajers Vej 7C 9220 Aalborg Denmark

A power generating wind turbine causes a speed reduction and an added turbulence to the wind. Wind turbines in wind farms are often caught in these wakes and are found to have a higher structural load than non affected wind turbines. This article investigates the possibility of designing a control strategy which optimizes the power production, while minimizing the effect of the wakes in the wind farm. A generic wind farm model which is able to calculate the wind turbines influence on each other is developed. Models for the reduction in wind speed as well as turbulence in the wake effects are developed in order to simulate the wake effects. The models are of low complexity, making the wind farm model suitable for control purposes. A model predictive wind farm controller (MPC) is developed and compared to a classical wind farm controller. The MPC is developed, with the ability to minimize the wake effects in the farm, while maintaining optimal power output. A feature which enables the MPC to spare certain turbines, while maintaining the power output is also implemented. The MPC controller is able to minimize the wake effect in the wind farm, when the power demand is not using the full potential of the wind farm.

关键词： Wind Turbine Wakes Optimal control Wind Farm Power-system control

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Online paramter estimation for a centrifugal decanter system 19

Online paramter estimation for a centrifugal decanter system

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

作者： Larsen, Jesper A. Alstrøm, Preben Section of Automation and Control Aalborg University Fredrik Bajers Vej 7C Aalborg9220 Denmark CORE A/S Jakob Dannefærds Vej 6B Frederiksberg C1973 Denmark

ISBN: (纸本)9783902823625

In many processing plants decanter systems are used for separation of heterogeneous mixtures, and even though they account for a large fraction of the energy consumption, most decanters just runs at a fixed set-point. Here, multi model estimation is applied to a waste water treatment plant, and it is shown using real production data, that it is possible online to distinguish between different operating modes, which can be used in the control strategy for energy optimization. © IFAC.

关键词： Wastewater treatment

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The adaptive control for intensity of ultrasonic influence on iron ore pulp

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Metallurgical and Mining Industry 2014年第6期6卷 8-11页

作者： Morkun, Vladimir Morkun, Natalia Pikilnyak, Andrey Computer Science Automation and Control Systems department State Higher Educational Institution 'Kryvyi Rih National University' Ukraine Economic Cybernetics and Project Management Department State Higher Educational Institution 'Kryvyi Rih National University' Ukraine Scientific and Research Section State Higher Educational Institution 'Kryvyi Rih National University' Ukraine

A method for the intensity control of the high-energy ultrasound influence on the iron ore pulp using Lyapunov and gradient methods based on MRAC system is described.

关键词： Ultrasonics

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Optimizing Safety Supervisors for Wind Turbines using Barrier Certificates

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IFAC Proceedings Volumes 2014年第3期47卷 11450-11457页

作者： M. Laurijsse R. Wisniewski S. Weiland Department of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands Section for Automation & Control Aalborg University 9220 Aalborg East Denmark Control Systems Group Eindhoven University of Technology Eindhoven The Netherlands

关键词： Safety analysis fault detection barrier certificates compositional safety supervisor wind turbines sum of squares

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Author Correction: A consensus protocol for functional connectivity analysis in the rat brain

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Nature neuroscience 2023年 2023 Apr 18页

作者： Joanes Grandjean Gabriel Desrosiers-Gregoire Cynthia Anckaerts Diego Angeles-Valdez Fadi Ayad David A Barrière Ines Blockx Aleksandra Bortel Margaret Broadwater Beatriz M Cardoso Marina Célestine Jorge E Chavez-Negrete Sangcheon Choi Emma Christiaen Perrin Clavijo Luis Colon-Perez Samuel Cramer Tolomeo Daniele Elaine Dempsey Yujian Diao Arno Doelemeyer David Dopfel Lenka Dvořáková Claudia Falfán-Melgoza Francisca F Fernandes Caitlin F Fowler Antonio Fuentes-Ibañez Clément M Garin Eveline Gelderman Carla E M Golden Chao C G Guo Marloes J A G Henckens Lauren A Hennessy Peter Herman Nita Hofwijks Corey Horien Tudor M Ionescu Jolyon Jones Johannes Kaesser Eugene Kim Henriette Lambers Alberto Lazari Sung-Ho Lee Amanda Lillywhite Yikang Liu Yanyan Y Liu Alejandra López-Castro Xavier López-Gil Zilu Ma Eilidh MacNicol Dan Madularu Francesca Mandino Sabina Marciano Matthew J McAuslan Patrick McCunn Alison McIntosh Xianzong Meng Lisa Meyer-Baese Stephan Missault Federico Moro Daphne M P Naessens Laura J Nava-Gomez Hiroi Nonaka Juan J Ortiz Jaakko Paasonen Lore M Peeters Mickaël Pereira Pablo D Perez Marjory Pompilus Malcolm Prior Rustam Rakhmatullin Henning M Reimann Jonathan Reinwald Rodrigo Triana Del Rio Alejandro Rivera-Olvera Daniel Ruiz-Pérez Gabriele Russo Tobias J Rutten Rie Ryoke Markus Sack Piergiorgio Salvan Basavaraju G Sanganahalli Aileen Schroeter Bhedita J Seewoo Erwan Selingue Aline Seuwen Bowen Shi Nikoloz Sirmpilatze Joanna A B Smith Corrie Smith Filip Sobczak Petteri J Stenroos Milou Straathof Sandra Strobelt Akira Sumiyoshi Kengo Takahashi Maria E Torres-García Raul Tudela Monica van den Berg Kajo van der Marel Aran T B van Hout Roberta Vertullo Benjamin Vidal Roël M Vrooman Victora X Wang Isabel Wank David J G Watson Ting Yin Yongzhi Zhang Stefan Zurbruegg Sophie Achard Sarael Alcauter Dorothee P Auer Emmanuel L Barbier Jürgen Baudewig Christian F Beckmann Nicolau Beckmann Guillaume J P C Becq Erwin L A Blezer Radu Bolbos Susann Boretius Sandrine Bouvard Eike Budinger Joseph D Buxbaum Diana Cash Victor Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands. joanes.grandjean@radboudumc.nl. Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands. joanes.grandjean@radboudumc.nl. Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada. Integrated Program in Neuroscience McGill University Montreal QC Canada. Bio-imaging Lab University of Antwerp Antwerp Belgium. µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium. Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico. Biological and Biomedical Engineering McGill University Montreal QC Canada. McConnell Brain Imaging Centre McGill University Montreal QC Canada. Montreal Neurological Institute McGill University Montreal QC Canada. UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France. Department of Neurology and Neurosurgery McGill University Montreal QC Canada. Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA. Department of Neurology University of North Carolina at Chapel Hill Chapel Hill NC USA. Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill NC USA. Preclinical MRI Champalimaud Research Champalimaud Centre for the Unknown Lisbon Portugal. Laboratoire des Maladies Neurodégénératives Molecular Imaging Research Center (MIRCen) Université Paris-Saclay Commissariat à l'Énergie Atomique et aux Énergies Alternatives (CEA) CNRS Fontenay-aux-Roses France. Departamento de Neurobiología Conductual y Cognitiva Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro México. Translational Neuroimaging and Neural Control Group High-Field Magnetic Resonance Max Planck Institute for Biological Cyberneti

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