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    Wyświetlanie 1-6 z 6
    Tytuł:
    Using the EMTP/ATP program for calculation of electric and magnetic field distribution under overhead line
    Autorzy:
    Wiśniewski, J.
    Anderson, E.
    Karolak, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/97319.pdf
    Data publikacji:
    2012
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    EMTP-ATP program
    PSCad
    MATLAB Simulink
    magnetic field
    Opis:
    This paper presents the method of calculation of the electric and magnetic fields under overhead transmission line with any number of circuits, phase positions, voltages and current loads. Calculations of this type usually require specialized and costly programs. The program EMTP/ATP is a royalty free tool to calculate the electric transient and steady states in complex power systems. You can use this program and through appropriate modeling the multi-phase wire system representing the line and measurement device calculate the strength of the electric and magnetic fields. The results of calculations are characterized by a very small error compared to the results obtained by using the specialized commercial program. This method can be used with other popular engineering tools like Matlab/Simulink or PSCad.
    Źródło:
    Computer Applications in Electrical Engineering; 2012, 10; 98-106
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Development of the electrical power system from the point of view of unmanned factories
    Autorzy:
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/97724.pdf
    Data publikacji:
    2014
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    unmanned factories
    identification
    models of development
    states space
    electrical power system deveopment
    MATLAB and Simulink
    Opis:
    Fundamentals of systems and control theory as well as systems development identification theory were used for the purpose of the DPS Identification, which allowed to generate models of development, including models of development in the form of matrix th and the equations in the states space (ss). This served as the basis to develop the systemic model of the DPS system development, which was implemented in Simulink, by defining successive blocks of the model as characteristics of individual subsystems of the DPS, identified in the MATLAB environment using the System Identification Toolbox, and transformed into the models in the state space using the Control System Toolbox. As a result of solving a set of equations of state variables using an m-file in the MATLAB environment three state variables were obtained. Based on the obtained solution, responses of the DPS system (output variable y1) to the following types of input functions: unit step 1(θ), Dirac impulse δ(θ) and sin(θ) function were obtained. The results of experiments were interpreted. An attempt to design a system that corrects and adjusts the functioning of the model of the DPS was made using state regulator and state observer as an example.
    Źródło:
    Computer Applications in Electrical Engineering; 2014, 12; 144-161
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Systemic Evolutionary Algorithm inspired by the methods of quantum computing to improve the accuracy of the model on the neuronal motion the end of the robot arm PR–02
    Autorzy:
    Wołynka, Ł.
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/97323.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    Evolution algorithms
    Quantum computing
    Modeling systems
    Robot PR–02
    Artificial Neural Networks
    Environment MATLAB and Simulink
    Opis:
    The article contains selected results of research on the design Systemic Evolutionary Algorithm inspired by quantum informatics methods and description how to implement it in Matlab language in order to use for improve parameters neural model on example robot robot PR–02 arm motion. Initial population was based on weights matrix of artificial neural network. Randomly selected population of individual chromosomes in both the initial and in the following parent population have been converted to binary values, and these to quantum values by using created for this purpose quatization() function. Quantum gene value was determined on the basis of stonger pure state represented by different chromosomes, to which dequantization() function was used. Selection of individuals was conducted based on the model of neural robot PR–02 motion implemented in Matlab language using calculationsNeuralNetworks() function.
    Źródło:
    Computer Applications in Electrical Engineering; 2016, 14; 297-312
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Design and research on artificial neural networks as electrical power system development models based on IEEE RTS data
    Autorzy:
    Tchórzewski, J.
    Pytel, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/97683.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    artificial neural network
    IEEE RTS data
    electrical power system
    MATLAB and Simulink environment
    testing sensitivity
    simulation studies
    Opis:
    The paper presents selected results of research on the design of artificial neural networks and training them using the electrical power system development model (EPS or EP system) based on IEEE RTS 96 test data, i.a. creation of training and test files, development of architecture of the artificial neural network, selection of parameters of the network, selection of appropriate training and testing method, etc. As a result of the development and training an ANN, the following EP system development models were obtained, which were examined for sensitivity to changes of the number of hidden layers, number of neurons in a layer, activation function, training method, etc. Subsequently, simulation models for studying fitness of the obtained models to the real systems. Interesting results were obtained, e.g. the method of the neural modelling of the system, the optimal architecture of the ANN that is a model of the system, possibilities and directions to improve a neural model of the system, etc.
    Źródło:
    Computer Applications in Electrical Engineering; 2015, 13; 231-244
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ball-and-beam laboratory system controlled by Simulink model through dedicated microcontrolled-Matlab data exchange protocol
    Autorzy:
    Nowopolski, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/97435.pdf
    Data publikacji:
    2013
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    beam-and-ball
    interface
    MATLAB
    Simulink
    stepper motor
    SimMechanics
    linear position control
    microcontroller
    32-bit microcontroller
    LQR control law
    Opis:
    A ball balancing on a beam is a perfect platform for demonstration various control strategies. The task is to place ball rolling freely, in a reference position along the beam driven by a motor, rejecting disturbances. The research system consists of mechanical platform with stepper motor and two infrared ball position sensors, power supply and electronic controller based on a 32-bit microcontroller connected to Matlab/Simulink software running the main control algorithm. Designed in Simulink input and output subsystem blocks contain all functions required to provide data exchange with microprocessor controller of the mechanical system. Developed data exchange protocol and its implementation both in microcontroller software and Simulink subsystems allow to use this complete system for educational purposes: the controller designer is free to develop supervisory control layer, not going into details of system operation. The results of system operation with P, PD and LQR control laws are shown at the end of this paper.
    Źródło:
    Computer Applications in Electrical Engineering; 2013, 11; 310-320
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Systemic Evolutionary Algorithm inspired by methods of Quantum computer sciences for the improvement of the accuracy of neural models in electrical engineering and electrical power engineering
    Autorzy:
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/97692.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    Evolutionary Algorithms
    Quantum computer science
    Quantum mixed number
    Systems modelling
    Robot PR–02
    Artificial Neural Networks
    MATLAB and Simulink environment
    Electric Power Exchange
    Opis:
    The work contains selected results of research on the application of quantum computer science to a systemic evolutionary algorithm for the purpose of improving accuracy of neural models in electrical engineering and electrical power engineering. Artificial neural networks are used in neural modeling, which networks are designed and taught models of systems using available numerical data. Parameters of neural networks, and especially, elements of weight matrices, biases as well as parameters of activation functions may be improved using evolutionary algorithms. It seems that applying solutions offered by quantum computer science to systemic evolutionary algorithm, and especially, as regards creation of quantum initial population, quantum crossover and mutation operators as well as selection, considerably improves the accuracy of modelling, which was verified in MATLAB and Simulink environment using selected examples such as RP–02 robot’s arm movement, the development of the Polish Electrical Power Exchange (polish: TGEE) system, etc.
    Źródło:
    Computer Applications in Electrical Engineering; 2016, 14; 280-296
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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