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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
41

Návrh konstrukce zakladače k bezhroté brusce Jupiter 125 / Chalder for grinder Jupiter 125

Novák, Aleš January 2008 (has links)
Thesis deal with proposal construction Chalder for centreless grinding machine Jupiter 125. Chalder is designed for workpiece with maximum average 12 mm, maximum longitude 120 mm and mass 0,1 kg. In the thesis are described components that were used at solving and intended time exchanges workpiece, the economics estimation and processed needed design documentation.
42

Design samochodného postřikovače / Design of Self-Propelled Sprayer

Sovják, Richard January 2014 (has links)
The main aim of this master's thesis is innovative approach to design of self propelled sprayer with technical, esthetic, ergonomic and economic demands. The final design with it's modern and functional look should be an attractive element of agrotechnics. Another aim is also to fulfill social and psychological functions and address the public about protection of cultivated crops with emphasis on alternative energy and other uses of agricultural machinery.
43

Methodologies for FPGA Implementation of Finite Control Set Model Predictive Control for Electric Motor Drives

Lao, Alex January 2019 (has links)
Model predictive control is a popular research focus in electric motor control as it allows designers to specify optimization goals and exhibits fast transient response. Availability of faster and more affordable computers makes it possible to implement these algorithms in real-time. Real-time implementation is not without challenges however as these algorithms exhibit high computational complexity. Field-programmable gate arrays are a potential solution to the high computational requirements. However, they can be time-consuming to develop for. In this thesis, we present a methodology that reduces the size and development time of field-programmable gate array based fixed-point model predictive motor controllers using automated numerical analysis, optimization and code generation. The methods can be applied to other domains where model predictive control is used. Here, we demonstrate the benefits of our methodology by using it to build a motor controller at various sampling rates for an interior permanent magnet synchronous motor, tested in simulation at up to 125 kHz. Performance is then evaluated on a physical test bench with sampling rates up to 35 kHz, limited by the inverter. Our results show that the low latency achievable in our design allows for the exclusion of delay compensation common in other implementations and that automated reduction of numerical precision can allow the controller design to be compacted. / Thesis / Master of Applied Science (MASc)

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