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EN
The paper represents laboratory bench to analyse a system of automated control with a fuzzy controller. The laboratory bench consists of a thermal object, and software and hardware complex involving logic controller VIPA System 200 V as well as HMI / SCADA system Zenon Supervisor 7.0. The thermal object is described with the help of the second-order differential equation using “current value within the power converter of electric heater-air temperature inside a thermal object” control channel. Coefficients of the differential equation depend upon location of a dampener and upon rotation frequency of a centrifugal fan. Control error (ie deviation between the specified temperature value within the thermal object and its current value), and derivative of the error, represented in the form of linguistic variables involving five triangular terms and two trapezoidal (extreme) ones have been used as the input values of the fuzzy controller. Output value of the fuzzy controller is the electric power supplied to the electric heater and assuming seven specified values. Selection of the specific value of electric power depends upon knowledge base being a finite set of rules of fuzzy sets falling into line with the applied linguistic variables. To implement such a system of automated control with a fuzzy controller, original software has been developed making it possible to analyze a process of thermal object heating with the use of human-computer interface. Interaction algorithm of certain program elements has been described. Experimental results, concerning the thermal object transfer from different initial conditions to terminal ones, have been demonstrated. A dependence of mean-square error of the controlled value upon the control period has been demonstrated.
PL
W artykule przedstawiono wpływ charakterystyki kalibracyjnej kamery termowizyjnej na dokładność podpikselowego pomiaru położenia krawędzi obiektów termicznych. Opisane zjawisko ma miejsce w przypadku identyfikacji parametrów geometrycznych obiektów na podstawie obrazu pola temperatury przekształconego do postaci termogramu. W oparciu o matematyczny model krawędzi zaprezentowano metodę wyznaczania błędu systematycznego pochodzącego od rozpatrywanego przekształcenia. Załączono wyniki obliczeń błędów dla kamery ThermalCAM PM 595 w różnych warunkach pomiarowych.
EN
An influence of the calibration cuvre of the IR camera on the sub-pixel edge location accurancy has been presented in the paper. The intensity signal, proportional to the emittance received from measured area by the infrared detector is converted to the temperature signal, which makes the thermal image. According to the Stefan-Boltzman low a relationship between a temperature and an emittance is strongly non-linear. This nonlinearity causes a geometrical distortion of the measured object dimensions. In case of the geometry measurements, the most sensitive seems to be the sub-pixel edge location measurements. The paper deals with the bias error problem using thermal images as a basis to the sub-pixel edge location measurements. Introducing the edge model, the method of the bias error estimation has been presented. There were conducted calculations specifying constrains of applications which bias error can be omitted. As an example the results for the infrared system ThermaCAM PM 595 have been included.
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