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Wind energy penetration into distributed generation and its static and dynamic features

Wind energy penetration into distributed generation and its ...

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International (EPE-PEMC) Power Electronics and Motion control Conference

作者： Peter Stumpf Rafael. K. Jardan Istvan Nagy Zoltan Varga Economics Department of Automation and Applied Informatics Budapest Budapest University of Technology Hungary MTA-BME Control Engineering Research Group Budapest

Wind Energy Conversion Systems (WECS) are penetrating into Microgrids as they fit well to the concept of Distributed Generation. The variable speed Doubly Fed Induction Generators (DFIG) are most frequently used. Changing the speed (DFIG) according to the aerodynamic law, maximum wind power can be harvested. The paper investigates the way of speed change by rotor voltage in steady-state and in transient. Steady state characteristics and simulation results for dynamic behavior are included.

关键词： Rotors Stators Generators Microgrids Wind turbines Wind energy Wind power generation

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Dynamie output feedback controller design for T-S fuzzy plants with actuator saturation using linear fractional transformation

Dynamie output feedback controller design for T-S fuzzy plan...

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2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014

作者： Liu, Yang Ban, Xiaojun Wu, Fen Lam, H.K. Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin150001 China Department of Mechanical and Aerospace Engineering North Carolina State University RaleighNC27695 United States Department of Informatics King's College London Strand LondonWC2R 2LS United Kingdom

ISBN: (纸本)9781479920723

In this paper, a systematic synthesis method for Takagi-Sugeno fuzzy dynamic output feedback controller is proposed for T-S fuzzy plants with actuator saturation. By using the deadzone function, both the T-S fuzzy plant with actuator saturation and the T-S fuzzy dynamic output feedback controller are transformed into the form of linear fractional transformation (LFT). Within the framework of LFT, the issue of stability as well as Hoo performance is cast as a convex optimization problem which can be approached by solving a set of linear matrix inequalities. A numerical example is presented to illustrate the effectiveness of the proposed method. © 2014 IEEE.

关键词： Linear matrix inequalities

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Output controller for quadcopters based on mathematical model decomposition

Output controller for quadcopters based on mathematical mode...

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Mediterranean Conference on control and Automation (MED)

作者： Anton A. Pyrkin Alexey A. Bobtsov Sergey A. Kolyubin Oleg I. Borisov Vladislav S. Gromov Department of Control Systems and Informatics ITMO University Saint Petersburg Russia Laboratory “Control of Complex Systems” Institute for Problems of Mechanical Engineering St.Petersburg Russia Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9781479959020

In the paper an output control approach for a class of nonlinear MIMO systems is presented. A multicopter with four symmetrical rotors, i.e. a quadcopter, is chosen to illustrate effectiveness of the proposed adaptive control approach based on the high-gain principle so-called “consecutive compensator”. Output controller is designed by decomposition of the mathematical model on two parts. The first one is a static MIMO transformation (more precisely, in the considering case a system of linear equations which relates lift forces generated by the actuators and virtual control inputs). The second one is a few SISO channels. Such trick allows to design a control law in two steps. At the first step we design virtual controls for each SISO channel. Here we apply the mentioned systematic approach “consecutive compensator”. And then after the inverse MIMO transformation we get a set of real lift forces.

关键词： Mathematical model MIMO Equations Adaptive control Nonlinear systems Transient analysis Rotors

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Output adaptive controller for linear system with input delay and multisinusoidal disturbance

Output adaptive controller for linear system with input dela...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Anton A. Pyrkin Alexey A. Bobtsov Vladimir O. Nikiforov Stanislav V. Aranovskiy Sergey A. Kolyubin Alexey A. Vedyakov Oleg I. Borisov Vladislav S. Gromov Department of Control Systems and Informatics ITMO University Saint Petersburg Russia Laboratory “Control of Complex Systems” Institute for Problems of Mechanical Engineering St. Petersburg Russia Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9781479974108

We present a new stabilization approach for a linear plant with the input delay and an unknown multisinusoidal disturbance affected the input and the output. To solve this problem, we combine the well-known predictor feedback approach with the state observer and adaptive scheme that identifies the frequency of the disturbance. Compared to the existing approaches, our adaptive scheme is applicable to plants that are unstable, non-minimum phase, and have an arbitrary relative degree.

关键词： Observers Delays Estimation error Frequency estimation control systems Vectors Polynomials

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Study of Learning Entropy for Novelty Detection in Lung Tumor Motion Prediction for Target Tracking Radiation Therapy

Study of Learning Entropy for Novelty Detection in Lung Tumo...

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International Joint Conference on Neural Networks

作者： Ivo Bukovsky Noriyasu Homma Matous Cejnek Kei Ichiji Czech Technical University in Prague Department of Instrumentation and Control Engineering Department of Radiological Imaging and Informatics Graduate School of Medicine Tohoku University Yoshizawa Laboratory Graduate School of Engineering Tohoku University

ISBN: (纸本)9781479914821

This paper presents recently introduced concept of Learning Entropy (LE) for time series and recalls the practical form of its evaluation in real time. Then, a technique that estimates the increased risk of prediction inaccuracy of adaptive predictors in real time using LE is introduced. On simulation examples using artificial signal and real respiratory time series, it is shown that LE can be used to evaluate the actual validity of the adaptive predicting model of time series in real time. The introduced technique is discussed as a potential approach to the improvement of accuracy of lung tumor tracking radiation therapy.

关键词： Time series analysis Real-time systems Tumors Accuracy Entropy Lungs Synchronization

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Comparison of two sampling techniques of SVM applied in sensorless Field Oriented controlled IM drive

Comparison of two sampling techniques of SVM applied in sens...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Péter Stumpf Rafael K. Járdán István Nagy István Vajk Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary MTA-BME Control Engineering Research Group Budapest Hungary

ISBN: (纸本)9781479924004

Field Oriented control (FOC) technique is one of the mostly applied algorithm to control the speed and the flux of a three-phase electric drive. The paper focuses on high speed or high-pole count motor FOC drives when both the sampling over reference frequency ratio F and the carrier over reference frequency m f is low. The paper presents that the stability range of a speed sensor-less FOC motor drive can be extended by recalculating the reference signal of the Space Vector Modulation (SVM) algorithm at the negative peak of the carrier signal as well by approximating the rotor flux angle change over one half carrier period. The result was verified by computer simulations and laboratory measurements.

关键词： Torque Support vector machines Current measurement Resistors Stators Pulse width modulation Torque measurement

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Comparative study of ultrahigh-speed induction generators with self-excitation

Comparative study of ultrahigh-speed induction generators wi...

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Mediterranean Conference on control and Automation (MED)

作者： R. K. Jardan Z. Varga I. Nagy Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary MTA-BME Control Engineering Research Group Budapest Hungary

ISBN: (纸本)9781479959020

In the paper a comparative analysis is carried out on seven different self-excitation methods that have been developed in the past decades taking into account the technical and economical features of the methods compared. A novel solution based on resonant circuit application is described in more detail, and the theoretical considerations have been confirmed by computer simulations and laboratory test results.

关键词： Reactive power Inductors Topology Stators Capacitance Switches

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Realization of a nonlinear system in the feedforward form: A polynomial approach 19

Realization of a nonlinear system in the feedforward form: A...

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

作者： Halás, Miroslav Kawano, Yu Moog, Claude H. Ohtsuka, Toshiyuki Institute of Control and Industrial Informatics Fac. of Electrical Engineering and IT Slovak University of Technology Ilkovičova 3 Bratislava81219 Slovakia Department of Systems and Science Graduate School of Informatics Kyoto University Yoshida-Honmachi Sakyo-ku Kyoto606-8501 Japan IRCCyN UMR C.N.R.S. 6597 1 rue de la Noë Nantes Cedex 344321 France

ISBN: (纸本)9783902823625

The paper studies the problem of finding a realization of a nonlinear system described by a higher-order differential equation in the so-called feedforward form. A necessary and sufficient condition for the problem to be solvable is given, and it is represented by the requirement that the corresponding polynomial description of such an equation can be factorized. Then certain one-forms associated to the factorization are always integrable which allows to write down the realization. The results are also applied to derive a necessary and sufficient condition for the transformation of a nonlinear state equations into the feedforward form. © IFAC.

关键词： Nonlinear equations

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Second Order Sliding Mode control of a Mobile Hydraulic Crane

Second Order Sliding Mode Control of a Mobile Hydraulic Cran...

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IEEE Annual Conference on Decision and control

作者： Carlos Vazquez Stanislav Aranovskiy Leonid Freidovich Leonid Fridman Department of Applied Physics and Electronics Umea University SE-901 87 Umea Sweden Department of Control Systems and Informatics ITMO University Saint-Petersburg Russia Department of Control Engineering and Robotics Engineering Faculty UNAM C.P. 04510 Mexico City Mexico

ISBN: (纸本)9781467360890

A second order sliding mode control design for a mobile hydraulic system, including bounded model uncertainties and external disturbances, is the subject of study. The proposed algorithm provides a continuous control signal, achieving good performance and chattering attenuation in comparison to other sliding-mode-based techniques. The design includes the formulation of a partial stability problem and we provide the required Lyapunov-function-based analysis. Experimental results are performed over an industrial setup and confirm the effectiveness of the methodology. Moreover, promising results of a comparison with the Super-Twisting and PID controllers are presented.

关键词： Variable structure systems mobile hydraulics stability problems model uncertainty continuous control external disturbance

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Spiking neural network for controlling the artificial muscles of a humanoid robotic arm

Spiking neural network for controlling the artificial muscle...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Mircea Hulea Constantin Florin Caruntu Department of Computer Science and Engineering Gheorghe Asachi Technical University of Iasi Romania Department of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Romania

One of the main functions of the human nervous system is the muscles control. The complexity of this function increases for hand and fingers control because of the high diversity and accuracy of the possible motions. Starting from the control mechanisms of the natural muscle we developed a structure of spiking neurons implemented in PCB hardware that is able to drive the elbow of a human-like robotic arm. In order to increase the biological plausibility of the designed robotic arm driving system, the artificial neural network controls artificial muscles that are implemented with Flexinol actuator wires. From our knowledge the control of the actuator wires using spiking neural networks was not performed previously. The results show that the excitatory spiking neurons are able to flex and straighten the artificial elbow by stimulating two antagonistic actuator wires. Moreover, by using inhibitory neurons that modulate the neural excitatory activity the arm mobile segment can be driven to specific positions. Our final goal is the development of a biologically plausible neural structure that is able to easily drive the hand and fingers of a human-like robotic arm by controlling the artificial muscles implemented with actuator wires. This will give important clues for future developments of spiking neural networks that drive robotic arms for performing complex tasks.

关键词： Neurons Muscles Wires Biological neural networks Actuators Force Robots

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