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European Conference on Circuit Theory and Design, ECCTD

作者： J. Stolte G. Cserey Department of Electrical Engineering and Information Technology Eindhovan University of Technology Eindhoven Netherlands Institute of the Hungarian Academy of Sciences Faculty of Information Technology Pázmány Péter Catholic University and Computer and Automation Research Budapest Hungary

In this paper, we are presenting an artificial immune system based spatial-temporal CNN algorithm framework for sound event detection problems. We also introduce a pattern detection algorithm in grayscale images. Our ... 详细信息

关键词： Artificial immune systems Event detection Immune system Biology computing Humans Adaptive systems Cellular neural networks Computer networks information technology Organisms

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A precrash system based on sensor data fusion of laser scanner and short range radars

A precrash system based on sensor data fusion of laser scann...

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International Conference on information Fusion

作者： M. Skutek D.T. Linzmeier N. Appenrodt G. Wanielik Faculty of Electrical Engineering and Information Technology Chemnitz Germany Department of Measurement Control and Microtechnology University of Ulm (EBS) Ulm Germany Department REI/AU DaimlerChrysler AG Research and Technology Ulm Germany

The growing interest toward active safety systems leads to a rapid development of different sensors and systems. One key aspect for all systems is the knowledge about the car environment. This knowledge is essential for safety applications such as PreCrash. A PreCrash system generates information about location, moving direction and relative velocity of critical objects in the car environment immediately before an imminent and inevitable accident happens. Different types of actuators can benefit from this information for in-time deployment and the choice of the right deployment energy. In this paper a PreCrash system is proposed, which uses two short range radars and a laser scanner to obtain the required environmental data. The short range radars and the laser scanner will be mounted in the front of a test vehicle. The sensors are able to observe multiple targets within a field of view in front of the car. To develop a highly reliable environment sensing system, competitive fusion approaches using different types of sensors are appropriate. The challenge in realizing such a fusion system is the optimal utilization of the detection performance of each sensor type and the developing of a fast architecture for using it in the automotive environment. As two examples for such a fusion strategy a commonly utilized decision level fusion approach is discussed and a newly developed grid fusion approach is introduced. It is based on a virtual grid in front of the car in which the sensor readings are mapped into. The architecture of the grid is directly adapted to the requirements of the application and the sensor specifications. The data extraction out of the grid is based on simple and well known strategies. Decision strategies to increase the certainty of object identity are also proposed in this paper.

关键词： Laser radar Sensor fusion Sensor systems Laser fusion Safety Road accidents Actuators Testing Vehicles Automotive engineering

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A pedestrian detection system based on thermopile and radar sensor data fusion

A pedestrian detection system based on thermopile and radar ...

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International Conference on information Fusion

作者： D.T. Linzmeier M. Skutek M. Mekhaiel K.C.J. Dietmayer Department of Measurement Control and Microtechnology University of Ulm (EBS) Ulm Germany Faculty of Electrical Engineering and Information Technology Chemnitz Chemnitz Germany Department REI/AU DaimlerChrysler AG Research and Technology Ulm Germany

Automotive pedestrian protection systems will be introduced in the EU in short term to reduce the number of accidents and injury fatalities. As with any safety issue, a comprehensive approach comprising both active and passive safety elements should be followed and it is also valid for pedestrian protection. Passive safety short term solutions can be contact sensor systems that trigger raisable engine hoods. This paper discusses an innovative approach for pedestrian detection and localization, by presenting a system based on two short range radars and an array of passive infrared thermopile sensors, aided with probabilistic techniques for detection improvement. The two short range radars are integrated in the front bumper of the test vehicle. They are able to observe and track multiple targets in the region of interest. However, one difficulty is to distinguish between pedestrians and other objects. Therefore, a second sensor system is required to classify pedestrians reliably. This system consists of spatial distributed thermopile sensors which measure the object presence within their respective field-of-view independently. These measurements are then validated and fused using a mathematical framework. Thermopiles are excellent to detect the thermal radiation emitted by every human. However, a robust signal-interpretation algorithm is mandatory. In this work a statistical approach combining Dempster-Shafer theory with occupancy-grid method is used to achieve reliable pedestrian detection. Thermopile and radar sensors use independent signature-generation phenomena to develop information about the identity of objects within the field of view. They derive object signatures from different physical processes and generally do not cause a false alarm on the same artifacts. The integration of the sensor readings from the radar and thermopile system is conducted using unifying sensor-level fusion architecture.

关键词： Radar detection Sensor fusion Sensor systems Thermal sensors Safety Infrared detectors Sensor arrays Protection Infrared sensors Sensor phenomena and characterization

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Doubly-fed induction machine as generator in wind power plant: nonlinear control algorithms with direct decoupling

Doubly-fed induction machine as generator in wind power plan...

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European Conference on Power Electronics and Applications

作者： N.P. Quang A. Dittrich P.N. Lan Faculty of Electrical Engineering Department of Automatic Control Key Lab of Automation Hanoi University of Technology Hanoi Vietnam Enerdrive Zurich Switzerland Fakultät Elektrotechnik und Informationstechnik Elektrotechnisches Institut Dresden University of Technology Dresden Germany

Currently the doubly fed induction machine (DFIM) is often used in wind power plants. The digital rotor current controller is always based on DFIM models linearized within a sampling period which does not correspond to the nonlinear nature of the DFIM. The paper deals with a nonlinear control scheme with direct decoupling and presents some first investigation results. This new controller helps to improve ride-through of the wind turbine during grid faults

关键词： Induction machines Induction generators Power generation Wind energy generation Wind energy Rotors Digital control Sampling methods Power system stability Wind turbines

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OPTIMIZATION OF POWER SYSTEM STABILIZER BY GENETIC ALGORITHM

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IFAC Proceedings Volumes 2005年第1期38卷 274-278页

作者： Ján MurgaŜ Ivan Sekaj Martin Foltin Eva Mikloviĉová Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkoviĉova 3 812 19 Bratislava Slovak Republic tel.: 02 602 91 781 fax.: 02 654 29 734

Power system stabilizers (PSS) play an important role in damping of power system oscillations. An intensive research activity has been devoted to design of their structure and optimal setting of their parameters. In this paper the simultaneous optimization of multiloop PSS and automatic voltage regulator parameters (AVR) by means of genetic algorithm is proposed. Using an example of the 259 MVA turbogenerator excitation system in the nuclear power plant Mochovce (Slovak Republic) it is shown that the genetic algorithms are able to find the optimal parameters of excitation system so that the requirements on terminal voltage performances as well as on damping of active power oscillations are satisfied.

关键词： power system stabilizers parameter optimization genetic algorithm power system simulation performance index

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REDUCING THE EFFECT OF UNMODELED DYNAMICS BY MRAC control LAW MODIFICATION

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IFAC Proceedings Volumes 2005年第1期38卷 271-275页

作者： Eva Miklovičová Ján Murgaš Michal Gonos Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovičova 3 812 19 Bratislava Slovak Republic tel.: 02 602 91 604 fax.: 02 654 29 734

Solving a tracking problem does not always give desired results even when the adaptive control methods are used. Some difficulties may occur when the apriori assumptions laid down for the problem solution are not satisfied. One of the serious issues is the existence of unmodeled dynamics in the tracking problem. The proposed solutions are mainly based on robustification of the adaptation law. In this paper we propose to reduce the effect of unmodeled dynamics using the MRAC control law modification so that the standard adaptation law ensures the sufficiently small tracking error.

关键词： model reference adaptive control Lyapunov methods tracking systems

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Solving polynomial static output feedback problems with PENBMI

Solving polynomial static output feedback problems with PENB...

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IEEE Conference on Decision and control

作者： D. Henrion J. Lofberg M. Kocvara M. Stingl LAAS CNRS Toulouse France Department of Control Engineering Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Automatic Control Laboratory Swiss Federal Institute of Technology Zurich Switzerland Institute of Information Theory and Automation Academy of Sciences슠of the슠Czech Republic Prague Czech Republic Institute of Applied Mathematics University of Erlangen Erlangen Germany

An algebraic formulation is proposed for the static output feedback (SOF) problem: the Hermite stability criterion is applied on the closed-loop characteristic polynomial, resulting in a non-convex bilinear matrix inequality (BMI) optimization problem for SIMO or MISO systems. As a result, the BMI problem is formulated directly in the controller parameters, without additional Lyapunov variables. The publicly available solver PENBMI 2.0 interfaced with YALMIP 3.0 is then applied to solve benchmark examples. Implementation and numerical aspects are widely discussed.

关键词： Polynomials Output feedback Linear matrix inequalities Stability criteria Eigenvalues and eigenfunctions control engineering Lagrangian functions Automatic control Laboratories information theory

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I am a Robot – Competitor: A Survey of Robotic Competitions

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International Journal of Advanced Robotic Systems 2005年第2期2卷

作者： Richard Balogh Slovak University of Technology Faculty of Electrical Engineering and Information Technology Department of Automation and Control Bratislava Slovakia

A survey of robotic competitions all over the world, their short history and present state is given. Contests are classified according to their difficulty and conditions. Typical competition categories, also with interesting robot constructions are described. Sense, advantages and disadvantages of contests are discussed, especially concerning educational purposes. At the same time, our experiences with organising the contest Istrobot are presented.

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FEMLAB-BASED OUTPUT REGULATION OF NONHYPERBOLICALLY NONMINIMUM PHASE SYSTEM AND ITS REAL-TIME IMPLEMENTATION

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IFAC Proceedings Volumes 2005年第1期38卷 777-782页

作者： Branislav Rehák Jorge Orozco-Mora Sergej Čelikovský Javier Ruiz-León Czech Technical University Faculty of Electrical Engineering Department of Control Engineering Technická 2 166 27 Praha 6 Czech Republic CINVESTAV-IPN Unidad Guadalajara P.O. Box 31-438 Plaza la Luna 44550 Guadalajara Jalisco Mexico Institute of Information Theory and Automation Academy of Sciences of the Czech Republic. P.O. Box 18 182 08 Prague Czech Republic

The aim of this paper is twofold. It provides another option how to obtain a universal easily implementable method for the solution of the regulator equations using the FEMLAB package. The regulator equation originates from the output regulation problem. The main idea is making a slight change of the regulator equation. It is then solved using the finite-element method. Some theoretical aspects concerning solvability of the equations and convergence to the original problem are introduced. Secondly to demonstrate viability of our approach, the results were applied to the real-time control of a gyroscope. Both simulations and real-time laboratory experiments are included.

关键词： Nonlinear control systems output regulation partial differential equations singularly perturbed differential equations gyroscopes

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MRAC with reduced state information

MRAC with reduced state information

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2004 IFAC Workshop on Adaptation and Learning in control and Signal Processing, ALCOSP 2004 and IFAC Workshop on Periodic control Systems, PSYCO 2004

作者： Gonos, Michal Murgaš, Ján Miklovičová, Eva Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovičova 3 Bratislava812 19 Slovakia

Direct adaptive control algorithms using state variables in control structure are known for their good adaptation capability and tracking performances that result from the fact that they use plant state variables in control law as well as in adaptation law. The implementation of standard model reference adaptive control (MRAC) with state variable control structure requires some a priori knowledge about the plant to be controlled including the plant order. This information is crucial for the proper choice of reference model describing the desired closed loop dynamical behavior and consequently for the adaptive system performances. The aim of our paper is to propose the fuzzy adaptation law for MRAC with state variable structure of control law that is able to ensure the adaptation process convergence and tracking capability even in the presence of unmodelled dynamics. Copyright © 2004 IFAC.

关键词： Fuzzy logic

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