In this article, a novel nature-inspired autonomous guidance is investigated regarding the honey bee motion algorithm for aerial robots and fuzzy logic. Combination of the bee al- gorithm and fuzzy logic is proposed to achieve an on-line guidance for methodology of this research. The main idea of this work belongs to a novel analogy between honey bees and aerial robots motions. Moreover, information links between the aerial robots are demon- strated to construct a formation of vehicles by updating motions based on fuzzy decision making. Three dimensional simulations for the aerial robots are considered to show the ef- ficient performance of autonomous guidance. The simulation results show precise ability of the proposed method for aerospace and robotics engineers based on a nature phenomenon to present an innovative guidance method.
The report presents the algorithms and software methodology for determining the optimal trajectory of the horizontal well in the reservoir using three-dimensional geological and hydrodynamic model. The implementation and use this methodology allows to determine the optimal zone for efficient formation of horizontal wells in the automated mode, using the results of hydrodynamic modeling. The algorithms involve the conversion of primary data for a given function, and after the conversion, the data is returned to the modeling software for visualization and further use. The software is designed as a stand-alone windows application that does not require installation of additional virtual environments. The utility is based on the Eclipse software data format, which can be considered standard and is compatible with most similar systems.
This paper presents a new method of process control based on artificial neural networks. Controller consists of internal model of a process and optimization procedure, which finds control signals. Controller was tested on stable process. It is shown an example of controller construction for linear SISO process.
PL
W artykule pokazano sposób konstrukcji regulatora neuronowego. Jest on oparty o wewnętrzny model obiektu sterowania oraz procedurę optymalizacyjną pobudzającą model w celu uzyskania optymalnej trajektorii sygnału przy zadanych ograniczeniach oraz wartościach zadanych. Pokazano również nową metodę tworzenia takiego modelu opartą o wykorzystanie sygnału losowego. Przedstawiono przykład konstrukcji regulatora w programie Matlab.
W pracy dokonano analizy numerycznej dynamiki giroskopowego układu skanującego przestrzeń i śledzącego wykryty w niej cel, stanowiącego integralny obiekt kierowanej bomby lotniczej.
EN
In this article, the author describes numerical analysis of the dynamics of the detected target searched and tracked by gyroscopic search and track system. This system is an integral part of a guided bomb unit.
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