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检索条件"机构=Department of Process Control Faculty of Electrical Engineering and Informatics"

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Takagi-Sugeno control of the Elevation Channel of A Twin-Rotor System Using Closed-Loop Empirical Data

Takagi-Sugeno Control of the Elevation Channel of A Twin-Rot...

引用

American control Conference

作者： Hamidreza Azimian Alireza Fatehi Babak N. Araabi Department of Mechanical and Materials Engineering The University of Western Ontario (UWO) London ON Canada Advanced Process Automation and Control (APAC) Research Group Industrial Control Center of Excellence Faculty of Electrical and Computer engineering K. N. Toosi University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781457710957

In this paper, design of Takagi-Sugeno controllers for a twin-rotor system from empirical data is addressed. First, identification of linear models using Prediction Error Method in the presence of nonlinear distortions and in feedback systems is revisited, and it is demonstrated that feedback nonlinear systems with an integral action can be locally represented by linear models rather than affine models. Moreover, it is demonstrated that how the consistency and unbiasedness of the identified models can be improved by proper design of the experiments. In order to ensure that the unmodeled contributions in the resulting piecewise linear model are sufficiently small, a criterion is proposed based on the small-gain theorem that can be used for unfalsification of the piecewise linear model. Finally, by taking advantage of the separation principle, design of fuzzy Takag-Sugeno state feedback and observer is formulated in terms of Linear Matrix Inequalities (LMIs). The implementation results on the actual system demonstrate significant improvements with respect to the initial controller and previous work on similar systems.

关键词： Nonlinear systems Closed loop systems Observers Uncertainty Data models Predictive models

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Design and Implementation of nonlinear neural network controller based on simulator model in Damavand Tokamak

Design and Implementation of nonlinear neural network contro...

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第24届中国控制与决策会议

作者： H. Tolouei A. Kouhi H. Rasouli C. Rasouli Advanced Process Automation & Control Laboratory (APAC) faculty of Electrical Engineering Control department K.N. Toosi University of TechnologyTehran Iran Plasma Physics and nuclear fusion institute Institute of nuclear science and technology (AEOI)Tehran Iran.

In this study, nonlinear neural network controller will be developed to control plasma radial motion in Damavand Tokamak. It is essential to have a good model in order to design a proper controller for plasma radial motion. To achieve this goal, actuator circuits are simulated and in consequence based on simulator model and simulated actuator circuits nonlinear neural network controller will be designed in Damavand Tokamak. Comparison between neural network controller output and PD controller output shows the efficiency of proposed approach.

关键词： Tokamak, Actuator circuits, nonlinear neural network controller, Gradient descent algorithm, Momentum algorithm.

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Cloud computing as a platform for distributed fuzzy FCA approach in data analysis

Cloud computing as a platform for distributed fuzzy FCA appr...

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IEEE International Conference on Intelligent engineering Systems (INES)

作者： M. Sarnovský P. Butka J. Pócsová Faculty of Electrical Engineering and Informatics Department of Cybernetics and Artificial Intelligence Technical University of Košice Kosice Slovakia Faculty of Economics Technical University of Košice Kosice Slovakia BERG Faculty Institute of Control and Informatization of Production Processes Technical University of Košice Kosice Slovakia

In this paper we describe use of cloud computing platform for support of distributed creation of conceptual models based on the FCA (Formal Concept Analysis) framework. FCA is one of the approaches which can be applied in process of conceptual data analysis. Extension of classical FCA (binary table data) is (one-sided) fuzzy version that works with different types of lattice-based attributes (binary, ordinal, interval-based, etc.) in the object-attribute table. This extension, so-called generalized one-sided concept lattices, provide possibility for researcher or data analyzer to use fuzzy FCA for object-attribute tables without the need for specific unified pre-processing, what is usually expected in practical data mining or online analytical tools. Computational complexity of creation of concept lattices from large contexts (data tables) is considerable, also interpretability of huge concept lattices is problematic. Therefore, we will also propose a solution for creation of simple hierarchy of smaller FCA models. Starting data table is decomposed into smaller sets of objects and then one concept lattice is built for every subset using generalized one-sided concept lattice. Such small FCA-based models are better for interpretability, and also can be combined into one hierarchy of models using simple hierarchical clustering based on the descriptions of particular models (as weighted vectors of attributes), which can be searched in analytical tool by data analyst. Cloud infrastructure is then used for increase of computational effectiveness, because particular models are built in parallel/distributed way. This cloud module can be a part of more complex data analytical system, which is also presented at the end of the paper.

关键词： Lattices Cloud computing Computational modeling Data analysis Clustering algorithms Algorithm design and analysis Analytical models

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On generation of one-sided concept lattices from restricted context

On generation of one-sided concept lattices from restricted ...

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International Symposium on Intelligent Systems and informatics (SISY)

作者： Peter Butka Jana Pócsová Jozef Pócs Department of Cybernetics and Artificial Intelligence Faculty of Electrical Engineering and Informatics Technical University of Košice Kosice Slovakia Institute of Control and Informatization of Production Processes BERG Faculty Technical University of Košice Kosice Slovakia Mathematical Institute Slovak Academy of Sciences Kosice Slovakia

In this paper the relationship between one-sided concept lattices and their restricted version is described. One-sided concept lattices are based on the Galois connections within Formal Concept Analysis (FCA) framework, which allows to analyse object-attribute models with different structures for truth values of attributes. We present the approach for generation of one-sided concept lattices from restricted formal context, which is obtained from given one by omitting some subset of the set of all attributes. The resulted algorithm for such restricted problem is described, together with the discussion on its correctness.

关键词： Lattices Context informatics Complexity theory Computational intelligence Algorithm design and analysis Data mining

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Comparison of standard and sparse-based implementation of GOSCL algorithm

Comparison of standard and sparse-based implementation of GO...

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International Symposium on Computational Intelligence and informatics

作者： P. Butka J. Pócsová J. Pócs Department of Cybernetics and Artificial Intelligence Faculty of Electrical Engineering and Informatics Technical University of Košice Kosice Slovakia Institute of Control and Informatization of Production Processes BERG Faculty Technical University of Košice Kosice Slovakia Mathematical Institute Slovak Academy of Sciences Kosice Slovakia

ISBN: (纸本)9781467352055

In this paper we provide experimental comparison on time complexity of algorithm for creation of Generalized One-Sided Concept Lattices according to the sparseness of the input data table between standard and sparse-based implementation. It is an incremental algorithm related to FCA (Formal Concept Analysis), which is ready to be used with various attribute types and to create so-called generalized one-sided concept lattice. While these algorithms are generally exponential, in practice the complexity can be considerably reduced, e.g., for sparse input data tables. We describe sparse-based implementation of two crucial operations in our algorithm and provide experiments with different sparse data tables, where time complexity is studied for comparison of standard and sparse-based implementation of the algorithm.

关键词： comparison implementation operations Concept Lattice algorithms complexity classes Surgery incoming data Complexity

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Comparison Study between a Simple Sensorless Method and Adaptive Observer for DTC-SVM Five-Phase Induction Motor Drive

Comparison Study between a Simple Sensorless Method and Adap...

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IEEE Interantional Conference on Industrial Technology

作者： B. S. Khaldi H. Abu-Rub A. Iqbal R. Kennel M. O. Mahmoudi D. Boukhetala Department of Electrical Engineering Faculty of Science and Engineering Djelfa University Algeria Department of Electrical & Computer Engineering Texas A&M University at Qatar Doha Qatar Department of Electrical Engineering College of Engineering Qatar University Qatar Institute for Electrical Drive Systems and Power Electronics Technische Universitat Munchen Munich Germany Laboratory of Process Control National Polytechnic School Algiers Algeria

ISBN: (纸本)9781467303408;9781467303422

This paper highlights the differences between a simple sensorless method and an adaptive flux and speed observer for a five-phase induction motor control. The drive is controlled using space vector modulation direct torque control (DTC- SVM) approach. The power measurement used for speed computation is simple, with a minimum processor time and memory, and relatively robust against parameters variation when compared with the adaptive observer based approach. Simulation verification and real time implementation are presented in the paper.

关键词： direct torque control (DTC) space vector modulation (SVM) Five-phase induction machine speed sensorless power measurement adaptive observer

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Elevation control of helicopter model using piecewise-linear neural network

Elevation control of helicopter model using piecewise-linear...

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International Conference on Applied Electronics, AE

作者： Petr Doležel Libor Havlíček František Dušek Faculty of Electrical Engineering and Informatics Department of Process Control University of Pardubice Pardubice Czech Republic

The paper deals with Helicopter model elevation control. Helicopter model is significantly nonlinear plant which simulates in some simplified way behavior of real helicopter. There is derived new way to control it which uses piecewise-linear neural model. As it is shown at the end of the paper, this new control algorithm brings decent performance improvement compared to classical control techniques.

关键词： Artificial neural networks Mathematical model Neurons Helicopters Difference equations System identification

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An anti-slip predictive controller for a V-PRA vehicle

An anti-slip predictive controller for a V-PRA vehicle

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作者： Cochior, Carmen De Keyser, Robin Lazar, Corneliu Electrical Engineering Department Eindhoven University of Technology Eindhoven Netherlands EeSA-Department of Electrical Energy Systems and Automation Ghent University Ghent Belgium Department of Automatic Control and Applied Informatics Faculty of Automatic Control and Computer Engineering Technical University Gh. Asachi Iasi Romania

ISBN: (纸本)9783902661937

In this paper an anti-slip predictive controller is designed and implemented in order to control the rear wheels of a V-PRA (Variable Powered Rear Axle) vehicle. The control algorithm is EPSAC, a Model based Predictive control (MPC) strategy. It uses explicitly a model of the system for the prediction of the future system output, in order to calculate the optimal control input which will bring the system to a required setpoint. The main goals of this predictive controller were setpoint trajectory following, disturbance rejection and maintain overall the stability of the V-PRA vehicle. Although the process is nonlinear, being influenced by several parameters, linear discrete-time ARX models could be obtained based on system linearization around an operating point. An initial SISO controller was developed and tested, based on a Simulink model of the process. The control performances were tested successfully in presence of all kind of disturbances, denoting a robust controller. © 2011 IFAC.

关键词： Vehicles

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Assimilation of Wireless Sensor Networks and remote microcomputer laboratories

Assimilation of Wireless Sensor Networks and remote microcom...

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作者： Fudurić, Darko Cmuk, Drago Knežević, Petar Mrvoš, Saša Department of Control and Computer Engineering University of Zagreb Faculty of Electrical Engineering and Computing Unska 3 Zagreb Croatia Konar - Electronics and Informatics Inc. Fallerovo etalite 22 Zagreb Croatia Department of Fundamentals of Electrical Engineering and Measurements University of Zagreb Faculty of Electrical Engineering and Computing Unska 3 Zagreb Croatia Department of Electronic Systems and Information Processing University of Zagreb Faculty of Electrical Engineering and Computing Unska 3 Zagreb Croatia

ISBN: (纸本)9789532330670

Emergence of Web 2.0 technologies became a trigger for a revolution that goes far beyond the Web. For an average student Web was transformed from a steady, accessible source of information into a place of action and viable exchange of knowledge a kind of a virtual classroom. Students started to look for experience and a touch to reality online, and this is where remote laboratories come in place. Such laboratories became an inevitable need in electrical and computer engineering courses dealing with microcomputers. This paper presents an overview of available architectures of microcomputer laboratories used today and addresses their most important limitations. Moreover, an important extension of such architecture is proposed allowing support for remote Wireless Sensor Network (WSN) laboratory. Different aspects of compatibility between microcomputer laboratories and WSNs have been examined to allow creation of an general extension model. With additional effort and adaptation, WSN nodes may serve remote clients as an economic and accessible microcomputer laboratory providing invaluable hands-on experience and a motivation for a course using it. © 2011 MIPRO.

关键词： Embedded systems

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Hybrid neural-fuzzy control of the single-phase induction machine

Hybrid neural-fuzzy control of the single-phase induction ma...

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2011 International Conference on Communications, Computing and control Applications, CCCA 2011

作者： Bouhoune, K. Yazid, K. Boucherit, M.S. Power and Industrial Systems Laboratory Faculty of Electronics and Informatics University of the Sciences and Technology Houari Boumediene B.P 32 El Alia Bab Ezzouar 16111 Alger Algeria Process Control Laboratory Department of Electrical Engineering Polytechnic National School 10 Hassan Badi El-Harrach Algiers Algeria

ISBN: (纸本)9781424497959

The single-phase induction machine has the advantage of being powered by a single-phase voltage source. The availability of this power allows it to be widely used: electric household appliances, portable machine tools... However, this type of machine has not yet taken its whole share from various works present until now, in comparison with the three-phase asynchronous machine. We propose by the means of this article, an approach combining the performances of the commands which are based on the tools of the artificial intelligence (neural networks and fuzzy logic) in the form of a hybrid control (neural-fuzzy - fuzzy) applied to control the single-phase induction motor supplied by PWM inverter. The simulation results show the feasibility and good performance obtained by the proposed control. Namely, improved response time and robustness of the system overlooked the disruption caused by the application of a load torque or speed rungs on the dynamics of the global system. That reinforces the principle of vector control with a good decoupling between the electromagnetic torque and rotor flux. © 2011 IEEE.

关键词： Domestic appliances

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