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EN
Asymptotic stability of models of 2D continuous-discrete linear systems is considered. Computer methods for investigation of the asymptotic stability of the Roesser type model are given. The methods require computation of eigenvalue-loci of complex matrices or evaluation of complex functions. The effectiveness of the stability tests is demonstrated on numerical examples.
PL
Przeprowadzono analizę funkcjonowania w ciągu 10-ciu lat hybrydowej instalacji solarno-wiatrowej, zaopatrującej w energię elektryczną mały energooszczędny dom jednorodzinny, w warunkach klimatu Warszawy. Równocześnie obliczono zapotrzebowanie budynku na ciepło, przy wykorzystaniu danych pogodowych Typowego Roku Meteorologicznego, oraz energię na przygotowanie ciepłej wody użytkowej. Instalacja może dostarczyć średnio 75% potrzebnej energii elektrycznej i dodatkowo 26% energii na cwu.
EN
Photovoltaic-wind hybrid system for the low energy small family house with four inhabitants has been analyzed, using 10-year hourly meteorological data for Warsaw. Energy demand for space heating has been calculated using the Typical Meteorological Year data, together with energy demand for domestic water heating. The system can deliver, on average, 75% of the necessary energy for electricity and 26% for water heating.
EN
Efficient diagnosis and prognosis of system faults depend on the ability to estimate the system state on the basis of noisy measurements of the system dynamic variables and parameters. The system dynamics is typically characterized by transitions among discrete modes of operation, each one giving rise to a specific continuous dynamics of evolution. The estimation of the state of these hybrid dynamic systems is a particularly challenging task because it requires keeping track of the transitions among the multiple modes of system dynamics corresponding to the different modes of operation. In this paper a Monte Carlo estimation method is illustrated with an application to a case study of literature which consists of a tank filled with liquid, whose level is autonomously maintained between two thresholds. The system behavior is controlled by discrete mode actuators, whose states are estimated by a Monte Carlo-based particle filter on the basis of noisy level and temperature measurements.
EN
The stability and positivity of linear positive Markovian jump systems with respect to part of the variables is considered. The method-ologies of stability of positive systems with known transition probabilities based on common linear copositive Lyapunov function and stability of linear systems with respect to part of the variables are combined to find sufficient conditions of the stochastic stability and positivity of Markovian jump systems with respect to part of the variables. The results are extended for a class of nonlinear positive Markovian jump systems with respect to part of the variables. An example is given to illustrate the obtained results.
EN
The article analyses the performance characteristics and operating costs of the three types of trolley-buses equipped with alternative energy sources, which are used by the MPK (Municipal Transport Company) in Lublin. The selected applications are adapted for driving off traction in emergency mode as well as servicing the regular route. Two of them are based on electrochemical batteries and one uses a system with an electric generator driven by an internal combustion engine.
6
Content available remote Influence of Working Pressure on Solid Oxide Fuel Cell Hybrid System Performance
100%
EN
The mathematical model of Solid Oxide Fuel Cell (SOFC) for power plant simulations is presented and described. Three systems included SOFC are presented and main parameters of one (HS-II) of them are shown. The influence of working pressure of hybrid system is shown. The ultra high efficiency (65 % HHV, 72 % LHV) of electricity production seems to be possible by systems like these. The high electricity production efficiency could be needed by future system of power distribution: Distributed Generation (DG).
7
Content available remote Evolution-fuzzy rule based system with parameterized consequences
100%
EN
While using automated learning methods, the lack of accuracy and poor knowledge generalization are both typical problems for a rule-based system obtained on a given data set. This paper introduces a new method capable of generating an accurate rule-based fuzzy inference system with parameterized consequences using an automated, off-line learning process based on multi-phase evolutionary computing and a training data covering algorithm. The presented method consists of the following steps: obtaining an initial set of rules with parameterized consequences using the Michigan approach combined with an evolutionary strategy and a covering algorithm for the training data set; reducing the obtained rule base using a simple genetic algorithm; multi-phase tuning of the fuzzy inference system with parameterized consequences using the Pittsburgh approach and an evolutionary strategy. The paper presents experimental results using popular benchmark data sets regarding system identification and time series prediction, providing a reliable comparison to other learning methods, particularly those based on neuro-fuzzy, clustering and ε-insensitive methods. An examplary fuzzy inference system with parameterized consequences using the Reichenbach implication and the minimum t-norm was implemented to obtain numerical results. sm
EN
The innovative technology, like thermal spraying with a micro-jet cooling is one of the important modification of classical ultrasonic spraying methods. Using of micro-stream with gases like argon or nitrogen allows to cool the coating immediately after spraying, and thereby reduce the time of transition during the injection of each layer. As a result of the process, the fine dispersive structure of coatings is obtained during the shorter time in comparable to the classical high velocity oxygen fuel process (HVOF). The parameter of process and the type of stream equipment determine the quality of the obtained structure and thermal stress in the coating. The article presents the relationship between selected parameters of hybrid process and properties of the coatings. The presented technology should be adapted to the actual production of protective coating for machines and construction working in wear conditions.
EN
The realization problem for 2D positive linear hybrid systems is addressed. Two methods based on the state variable diagram for finding positive realizations of a given improper transfer function are proposed. Sufficient conditions for the existence of a positive realization of a given improper transfer function are established. Procedures for computation of a positive realization are proposed and illustrated by numerical examples.
EN
This paper presents a new design concept and construction simple hybrid system with planetary gear for the light hybrid vehicle. The transmissions combine the power from two sources, a gasoline engine and electric motor. This solution maximize the performance of combustion engine and reduce emission.
11
Content available remote Dynamical process of complex systems and fractional differential equations
88%
Open Physics
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2013
|
tom 11
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nr 10
1238-1245
EN
Behavior of dynamical process of complex systems is investigated. Specifically we analyse two types of ideal complex systems. For analysing the ideal complex systems, we define the response functions describing the internal states to an external force. The internal states are obtained as a relaxation process showing a “power law” distribution, such as scale free behaviors observed in actual measurements. By introducing a hybrid system, the logarithmic time, and double logarithmic time, we show how the “slow relaxation” (SR) process and “super slow relaxation” (SSR) process occur. Regarding the irregular variations of the internal states as an activation process, we calculate the response function to the external force. The behaviors are classified into “power”, “exponential”, and “stretched exponential” type. Finally we construct a fractional differential equation (FDE) describing the time evolution of these complex systems. In our theory, the exponent of the FDE or that of the power law distribution is expressed in terms of the parameters characterizing the structure of the system.
EN
The main aim of proposed article is the design of new software system for modelling and control of discrete‐event and hybrid systems using Arduino and similar microcontrollers. In this paper we propose a new tool. It is based on Petri nets and it is called PN2ARDUINO. It offers a capability of communication with the microcontroller. Communication with the microcontroller is based on modified Firmata protocol so control algorithm can be implemented on all microcontrollers that support this type of protocol. The developed software tool was successfully verified for control of laboratory systems. It can also be used for education and also for research purposes as it offers a graphical way for designing control algorithm for hybrid and mainly discrete‐event systems. Proposed tool can enrich education and practice in the field of cyberphysical systems (Industry 4.0).
EN
The problem of asymptotic stability of models of 2D continuous-discrete linear systems is considered. Computer methods for investigation of asymptotic stability of the Fornasini-Marchesini type and the Roesser type models, are given. The methods proposed require computation of the eigenvalue-loci of complex matrices. Effectiveness of the stability tests are demonstrated on numerical examples.
EN
In this paper, dynamic response improvement of the grid connected hybrid system comprising of the wind power generation system (WPGS) and the photovoltaic (PV) are investigated under some critical circumstances. In order to maximize the output of solar arrays, a maximum power point tracking (MPPT) technique is presented. In this paper, an intelligent control technique using the artificial neural network (ANN) and the genetic algorithm (GA) are proposed to control the MPPT for a PV system under varying irradiation and temperature conditions. The ANN-GA control method is compared with the perturb and observe (P&O), the incremental conductance (IC) and the fuzzy logic methods. In other words, the data is optimized by GA and then, these optimum values are used in ANN. The results are indicated the ANN-GA is better and more reliable method in comparison with the conventional algorithms. The allocation of a pitch angle strategy based on the fuzzy logic controller (FLC) and comparison with conventional PI controller in high rated wind speed areas are carried out. Moreover, the pitch angle based on FLC with the wind speed and active power as the inputs can have faster response that lead to smoother power curves, improving the dynamic performance of the wind turbine and prevent the mechanical fatigues of the generator.
EN
Fuel cell based power source systems start to be practically used in wide range and variety of applications. Presented paper includes description of construction of fuel cell – supercapacitor hybrid powering system mounted in vehicle in which specially designed energy flow monitoring unit was installed. Results of preliminary measurements of hybrid power supply parameters during Hy-IEL electric vehicle drive tests are presented and discussed.
PL
Źródła zasilania na bazie ogniw paliwowych zaczynają być wykorzystywane w szerokim zakresie różnorodnych zastosowań. Przedstawiony artykuł zawiera opis konstrukcji hybrydowego układu zasilania, ogniwo paliwowe – superkondensator, który wykorzystano do zasilania napędu pojazdu elektrycznego wyposażonego w specjalnie zaprojektowany układ monitorowania przepływu mocy. Prezentowane są wyniki pomiarów parametrów elektrycznych hybrydowego układu zasilania zarejestrowane podczas testów skutera elektrycznego Hy-IEL
20
Content available remote CIMPLICITY OpenProcess - hybrydowy DCS firmy GE Fanuc w praktyce
75%
PL
Naturalną konsekwencją dynamicznego rozwoju firmy GE Fanuc zarówno w zakresie urządzeń, jak i oprogramowania było stworzenie hybrydowego systemu DCS. Duży potencjał firmy pozwolił na opracowanie systemu opartego na najnowszych technologiach i wychodzącego naprzeciw wymaganiom inżynierów pracujących na klasycznych systemach DCS. Niniejszy artykuł ma na celu przedstawienie wybranych, praktycznych cech systemu CIMPLICITY OpenProcessTM.
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