oalib

OALib Journal期刊

ISSN: 2333-9721

费用:99美元

投稿

匹配条件: “ZAPLATILEK” ,找到相关结果约7条。
列表显示的所有文章,均可免费获取
第1页/共7条
每页显示
Some Problems in Numerical Time Domain Analysis of Real Switched Capacitor Networks
K. Zaplatilek
Radioengineering , 1994,
Abstract: The contribution describes some problems which are connected with an application of theoretical methods. The transformation of data fields as a result of an output signal discontinuity and the correction of the time axis length will be discussed.
Implicit Approximation of Photovoltaic Panel Characteristics Using a Stochastic Approach
ZAPLATILEK, K.,LEUCHTER, J.
Advances in Electrical and Computer Engineering , 2012, DOI: 10.4316/aece.2012.04008
Abstract: In this article, an original system is described for an implicit approximation of photovoltaic panel characteristics. Photovoltaic panels (PV panel) are considered stochastic systems. Long-term measured basic characteristics are input data of the system. Each measurement is one of the stochastic PV realizations. Basic 2-D PV characteristics are approximated using implicit circle equations. Calculated circle passes through the three chosen points of a so-called stochastic cloud and it is an quasi-average PV model. The described approximation system includes all of practice influences over the PV, e.g. solar irradiation, temperature, PV wear, random events, etc. An original 3-D implicit final approximation is also introduced. The mentioned method is unambiguous and it also enables the user to intervene. The method is strictly based on measured data and it was developed and verified in MATLAB environment.
Behavioral Model of Photovoltaic Panel in Simulink
ZAPLATILEK, K.,LEUCHTER, J.
Advances in Electrical and Computer Engineering , 2011, DOI: 10.4316/aece.2011.04013
Abstract: This article deals with creation and application of a model of photovoltaic panel in the MATLAB and Simulink environments. An original model of the real PV panel is applied using the model based design technique. A so-called physical model is also developed using the SimPowerSystems library. The described PV panel model is applied for maximum power optimization in the one-shot and the continuous modes. A few illustrating examples and source code parts are also presented.
Photovoltaic Panel Modeling in MATLAB Environment
K. Zaplatilek,J. Leuchter
Radioengineering , 2011,
Abstract: This article is focused on the original photovoltaic panel model identification method. The method is based on the measured characteristics for given irradiation. The system can automatically create a mathematical model for a particular panel, and a specific temperature. Attention is paid to the approximation error progress, which is at minimum in the Maximum Power Points (MPP). During the application of well-known Shockley’s equation to the entire panel the nonlinear and parametric power losses are corrected. This approach provides an accurate approximation with good agreement with measured data. The method can be applied to any measured photovoltaic panel. The model identification procedure and its use are demonstrated on the example of a particular panel. A detailed methodology for application is presented for users of the MATLAB environment.
Efficient Algorithms of Direct and Inverse First-Order S-Z Transformations
K. Zaplatilek,M. Lares
Radioengineering , 2001,
Abstract: In the article, we describe principles of numerical algorithms bymeans of which coefficients of continuous-time and discrete-timefrequency filters are possible to transform each other for several s-ztrans-formations. The basis of algorithms is so-called Pascal matrixfor calculation of which an original procedure is used. We discussproblems of numerical conditionality of Pascal matrix and possibilityof its practical usage. Illustrative examples of numerical calculationsprogrammed in Matlab 5.1 are the constituent part of the article.
Optimization Algorithms Testing and Convergence by Using a Stacked Histogram
ZAPLATILEK, K.,TALPA, M.,LEUCHTER, J.
Advances in Electrical and Computer Engineering , 2011, DOI: 10.4316/aece.2011.01002
Abstract: The article describes an original method of optimization algorithms testing and convergence. The method is based on so-called stacked histogram. Stacked histogram is a histogram with its features marked by a chosen colour scheme. Thus, the histogram maintains the information on the input digital sequence. This approach enables an easy identification of the hidden defects in the random process statistical distribution. The stacked histogram is used for the testing of the convergent quality of various optimization techniques. Its width, position and colour scheme provides enough information on the chosen algorithm optimization trajectory. Both the classic iteration techniques and the stochastic optimization algorithm with the adaptation were used as examples.
Practice Utilization of Algorithms for Analog Filter Group Delay Optimization
K. Zaplatilek,P. Ziska,K. Hajek
Radioengineering , 2007,
Abstract: This contribution deals with an application of three different algorithms which optimize a group delay of analog filters. One of them is a part of the professional circuit simulator Micro Cap 7 and the others two original algorithms are developed in the MATLAB environment. An all-pass network is used to optimize the group delay of an arbitrary analog filter. Introduced algorithms look for an optimal order and optimal coefficients of an all-pass network transfer function. Theoretical foundations are introduced and all algorithms are tested using the optimization of testing analog filter. The optimization is always run three times because the second, third and fourth-order all-pass network is used. An equalization of the original group delay is a main objective of these optimizations. All outputs of all algorithms are critically evaluated and also described.
第1页/共7条
每页显示


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.