In this thesis, the effect of pitch based optimisation was explored for a 80 turbine wind farm. Using a modified Jensen wake model and the Particle Swarm Optimisation (PSO) model, a pitch optimisation strategy was created for the dominant turbulence and atmospheric condition for the wind farm. As the wake model was based on the FLORIS model developed by P.M.O Gebraad et. al., the wake and power model was compared with the FLORIS model and a -0.090% difference was found. To determine the dynamic predictive capability of the wake model, measurement values across a 10 minute period for a 19 wind turbine array were used and the wake model under predicted the power production by 17.55%. Despite its poor dynamic predictive capability, the wake model was shown to accurately match the AEP production of the wind farm when compared to a CFD simulation done in FarmFlow and only gave a 3.10% over-prediction. When the optimisation model was applied with 150 iterations and particles, the AEP production of the wind farm increased by 0.1052%, proving that the pitch optimisation method works for the examined wind farm. When the iterations and particles used for the optimisation was increased to 250, the power improvement between optimised results improved by 0.1144% at a 222.5% increase in computational time, suggesting that the solution has yet to fully converge. While the solutions did not fully converge, they converged sufficiently and an increase in iterations gave diminishing results. From the results, the pitch optimisation model was found to give a significant increase in power production, especially in wake intensive wind directions. However, the dynamic predictive capabilities will have be improved upon before the control strategy can be applied to an operational wind farm.

No description available.

The master’s thesis deals with modelling of various architectures of hybrid powertrains for three vehicle sizes in GT-SUITE and compares them in daily commuting operating mode. On top of making of the hybrid vehicle simulation models, control algorithms had to be created to manage the energy split between the internal combustion engine and the electric motor for each of the architectures. Routes to work and back were logged using the GPS and postprocessed to obtain the speed and the road grade profiles. Resulting data was used as an input in simulations of daily commuting. To compare all hybrid powertrain architectures, fuel economy and electricity consumption were evaluated for WLTP and daily commuting operating modes. Finally, the environmental impact of each topology was assessed based on an estimation of corresponding well-to-wheel emissions.

This diploma thesis deals with the design of control algorithm for hydraulic directional control valves of a zero-emission mini excavator. Zero emission excavator have same parameters as diesel engine powered version of it. To solve this problem simulations were done for hydraulics and control algorithm of this machine. To find right parameters of simulation models, experiments have been done. There were also proposed some methods to obtain the right set of parameters. The result of this diploma thesis is control algorithm for directional control valves of this very unique mini excavator that doesn't have any competitor (in terms of control algorithm). Set of parameters was also tested during experiments.

The aim of the master thesis is to create and verify the control algorithm of a personal lift. First part of the thesis focuses on a literature review investigating the requirements for personal lifts. Based on the information found in the review, selected measures were implemented in the model so that it would be the most suitable to the requirements for personal lifts. A brief introduction of the lift and its norms is followed by a description of the programme and control algorithm, including the description of the used add-on instructions. Last part describes the visualization which is used to control the lift model. In addition to controlling, the visualization provides statistical data, the current status of the programme and information about the set parameters, inputs, outputs and faults.

Táto diplomová práca sa zaoberá vytvorením dynamického modelu mobilného pracovného stroja. Ciežom práce je vytvorenie blokového modelu pohonu štvorkolesového mobilného pracovného stroja. Model hydrostatického prevodu bol dodaný firmou Sauer-Danfoss. Model mobilného pracovného stroja bol vytvorený v programe MATLAB-Simulink. Dalšou časťou práce je výber typu riadenia hydrostatického prevodu a návrh riadiaceho algoritmu hydrostatického prevodu. Výstupom práce je blokový matematicko-fyzikálny model pohonu štvorkolesového mobilného pracovného stroja spolu s riadiacim algoritmom hydrostatického prevodu v prostredí MATLAB-Simulink.

The Cal Poly CubeSat Laboratory (CPCL) is currently facing unprecedented engineering challenges—both technically and programmatically—due to the increasing cost and complexity of CubeSat flight missions. In responding to recent RFPs, the CPCL has been forced to find commercially available solutions to entire mission critical spacecraft subsystems such as propulsion and attitude determination & control, because currently no in-house options exist for consideration. The commercially available solutions for these subsystems are often extremely expensive and sometimes provide excessively good performance with respect to mission requirements. Furthermore, use of entire commercial subsystems detracts from the hands-on learning objectives of the CPCL by removing engineering responsibility from students. Therefore, if these particular subsystems can be designed, tested, and integrated in-house at Cal Poly, the result would be twofold: 1) the space of missions supportable by the CPCL under tight budget constraints will grow, and 2) students will be provided with unique, hands-on guidance, navigation, and control learning opportunities. In this thesis, the CPCL’s attitude determination and control system design and analysis toolkit is significantly improved to support in-house ADCS development. The toolkit—including the improvements presented in this work—is then used to complete the existing, partially complete CPCL ADCS design. To fill in missing gaps, particular emphasis is placed on guidance and control algorithm design and selection of attitude actuators. Simulation results show that the completed design is competitive for use in a large class of small satellite missions for which pointing accuracy requirements are on the order of a few degrees.

No description available.

Das Thema der Optimierung der Rütteldruckverdichtung ist seit vielen Jahrzehnten Gegenstand der Forschung. In dieser Arbeit werden die bisher untersuchten Mechanismen und Erkenntnisse zusammengefasst. Es ergeben sich jedoch einige Fragestellungen, aus denen sich die Forschungsfragen der vorliegenden Arbeit ableiten lassen. Die meisten Erkenntnisse sind theoretischer Natur und vieles wurde in der Praxis noch nicht nachgewiesen. Aus diesem Grund wurde ein Modellversuchsstand aufgebaut, der die Rütteldruckverdichtung mit einem Modellrüttler realitätsnah abbilden kann. Die darin eingebaute Sensorik wird im Rahmen einer Parameterstudie eingesetzt, bei der Standardversuche zur Rütteldruckverdichtung mit Parametervariationen durchgeführt werden. Durch die Parameterstudie konnten einige Vermutungen, die bisher nur theoretischer Natur waren oder aus der praktischen Anwendung stammen, erstmals nachgewiesen werden. Dazu gehören ein großer Einfluss der Schwingwegamplitude auf die Verdichtung sowie ein starker Einfluss der eingestellten Verdichtungsfrequenz. Diese Parameter sollten optimiert und nicht maximiert werden, da dies die Verdichtung wieder verschlechtern kann. Darüber hinaus hat sich der Vorlaufwinkel als geeigneter Regelparameter erwiesen, da er ein reproduzierbares Verhalten in gleichen Tiefenlagen zeigt. Weiter zeigt er das Ende eines Verdichtungsschritts in der jeweiligen Tiefenlage an, wenn er einen nahezu konstanten Wert erreicht. Zudem konnte durch den Vergleich verschiedener Verdichtungsverfahren die schrittweise Verdichtung gegenüber dem Pilgerschrittverfahren und dem konstanten Ziehen als beste Methode identifiziert werden. Auf Basis der Auswertungen wurde ein neuer Regelparameter eingeführt. Mit Hilfe des Sensorphasenwinkels kann das Bewegungsverhalten des Rüttlers erfasst und ein unrundes Bewegungsverhalten erkannt werden. Des Weiteren konnte ein Einfluss der Spülmethode, des Spüldurchsatzes und der Kornzertrümmerung festgestellt werden. Eine optimierte Verdichtungskontrolle und ein optisches Verfahren zur qualitativen Bewertung der Verdichtung wurden erstmals eingesetzt. Kern der vorliegenden Arbeit ist die Optimierung der Rütteldruckverdichtung. Hierzu konnten geeignete Regelparameter identifiziert und in Form eines multikriteriellen Regelalgorithmus umgesetzt werden. Dieser wurde für das Eindringen und Heben vorgeschlagen und erstmals für die Verdichtung angewendet. Der Modellrüttler passte seine Frequenz anhand der aufgezeichneten Sensordaten an die umgebenden Bodeneigenschaften an. Die dabei verwendeten Regelparameter wurden variiert und mit Großversuchen verglichen, um Wege und Potentiale aufzuzeigen, die im Großgerät Anwendung finden sollten. Die vorliegende Arbeit legt den Grundstein, um die gewonnenen Erkenntnisse in weiteren Modellversuchen anzuwenden und die neu entstandenen Forschungsfragen zu beantworten. Dadurch kann die Rütteldruckverdichtung optimiert werden, um in Zukunft ressourcenschonender und intelligenter eingesetzt zu werden.

Many-Body Perturbation Theory is put to test as a method for reliable calculations of the electron-electron interaction in two-dimensional quantum dots. We show that second order correlation gives qualitative agreement with experiments on a level which was not found within the Hartree-Fock description. For weaker confinements, the second order correction is shown to be insufficient and higher order contributions must be taken into account. We demonstrate that all order Many-Body Perturbation Theory in the form of the Coupled Cluster Singles and Doubles method yields very reliable results for confinements close to those estimated from experimental data. The possibility to use very large basis sets is shown to be a major advantage compared to Full Configuration Interaction approaches, especially for more than five confined electrons. Also, the possibility to utilize two-electron correlation in combination with tailor made potentials to achieve useful properties is explored. In the case of a two-dimensional quantum dot molecule we vary the interdot distance, and in the case of a two-dimensional quantum ring we vary the ring radius, in order to alter the spectra. In the latter case we demonstrate that correlation in combination with electromagnetic pulses can be used for the realization of quantum logical gates. / At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 5: Manuscript.