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Millimeter-wave (mm-wave) transmitters are often fabricated using advanced technology and require a sophisticated manufacturing facility. Access to such technologies is often very limited and difficult to gain particularly at the initial stage of research. Therefore, to increase the accessibility of mm-wave transmitters, this study proposes a design that can be assembled in a standard microwave laboratory...
W artykule przedstawiono wyniki badań nad możliwością zastosowania elektrod sterujących wykonanych z grafenu w przełącznikach w.cz. na zakres fal milimetrowych. W badaniach wykorzystano struktury testowe przełączników zintegrowanych z linią koplanarną wykonanych w strukturze półprzewodnikowej AlGaN/GaN w topologii szeregowej i bocznikowej. Na podstawie uzyskanych wyników wykazano możliwości wykorzystania...
This paper presents the experience in designing LTCC antennas operated in F-band (90–140 GHz). A few examined structures are presented and their electrical parameters dependencies on LTCC technology limitations are shown. The paper is focused on two main aspects: the first one is related to the quality of multi-layered structures and the second one to the properties of metallization, which has a big...
The paper investigates possible advantages from using nonlinear adaptive ANN (Artificial Neural Network)-based controller in a control system of autonomous variable speed electrical energy source with internal combustion engine. The speed is adjusted automatically as a function of load power demand. When the system is in a light or no load condition, the Main Voltage Controller automatically reduces...
The paper investigates further improvements of an adaptive ANN (artificial neural network)-based speed controller employed in a DTC-SVM (direct torque controlled-space vector modulated) drive. An on-line trained ANN serves as a speed controller and does not need a process model to predict future performance. In comparison to the previously published solution, auto-adjusting ability has been added...
The paper investigates further improvements of an adaptive ANN (Artificial Neural Network)-based speed controller employed in a DTC-SVM (Direct Torque Controlled - Space Vector Modulated) drive. An on-line trained ANN serves as a speed controller and does not need a process model to predict future performance. In comparison to the previously published solution, auto-adjusting ability has been added...
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