The master thesis is focused on creation of a visualization environment that displays a movement of a vehicle. A connection of the virtual reality with Matlab/Simulink and its 3D Animation toolbox is realized. Basic parameters of the vehicle can be easily edited using application created in Matlab. Selected dynamic effects are rendered together with the movement of the vehicle. The visualization is managed by results of the simulation calculations or measurements.

This thesis deals with the ferroresonance phenomenon and ferroresonance overvoltage in electric networks. That’s why the introduction part explains the theoretical basis of ferroresonance and its consequences in the power system. The work then focuses on the power system as a non-linear dynamic system and describes various analytical methods for solving these systems. These methods are further applied to diagnose specific systems. There are a number of various power system configurations susceptible to ferroresonance. The most frequent one is theoretically analyzed in this thesis and a number of recommendations are offered for reducing the ferroresonance phenomenon. The thesis further deals with the selection of suitable software for this computationally chal-lenging task. A number of different tools are considered and efficiently reduced to Matlab Sim-ulink and PSCAD software. Matlab Simulink and its SimPowerSystem Toolbox are used to ana-lyze the effect of hysteresis of the magnetic core of the transformer on the emergence and course of the ferroresonance phenomenon. Using PSCAD, various configurations of the power systems are compared in terms of possible emergence and course of ferroresonance and also to find the limiting conditions that increase the probability of this phenomenon. The possibility of using arti-ficial neural networks for ferroresonance diagnosis is also mentioned in this thesis. The final part provides a number of recommendations for design and operation of both new and existing power systems.

The Quality of Service (QoS) is in converged systems an important parameter. The dissertation thesis deals with research of QoS implementation into a newly developed network element. There was designed and implemented new protocol, based on the IP. The dissertation thesis deals with proposal of a new network element – the switch controlled by a neural network. During the research have been measured switches cross a performance classes. On the base of the measurement was designed the new four-port switch with switch fabric build on crossbar switch with an external control. The switch was designed with maximum QoS support. The switch fabric is controlled by the feedforward backpropagation neural network. The designed switch was modeled in the MATLAB and Simulink. The simulations prove that developed solution is functional.

This theses deals with mechatronic approach to a vehicle dynamics. It is divided into two main parts. There are prepared vibration analysis, measurement and analysis of functions of truck powertrain in the first part. The second part describes the creation of computational models allowing to simulate driving conditions, vibrations of the vehicle and its extension for the development of mechatronic systems. There are shown different driving modes to control created algorithm of mechatronic system. The main tool for the development of mechatronic systems is the created simulator of vehicle enabling testing of computational models in real time.

This thesis deals with the determination of the position of the solenoid core in real time based on the measured current. The reference position of the current is used for feedback control of the solenoid. For this issue, software tool Matlab/Simulink was used. For current and temperature measurements, PCB circuits were created. The whole project was carried out on the dSPACE platform.

This thesis deals with parameters estimation search problematics. Newly-made software is proposed within a frame of this work and it replaces and supplements the Parameter Estimation tool, which is a part of Matlab toolbox. New software proposes suitable visualisation and new functions, which may lead to better solutions than build-in tools in Matlab.

The aim of this diploma thesis is to introduce a construction and controlling of the EC motor. On a base of knowledge make up a EC motor model in Matlab Simulink, with a position scanning providing by Hall probe. The EC motor model should be with its behavior close to the real EC motor as much as possible. There were a given requirements on the motor. On the base of those requirements was chosen a real EC motor. Its catalog values were put in the EC motor model in Matlab and the results were compared with real data. Next task was to design a real controlling driver of EC motor, which should has a minimal size. This driver was constructed and thermal test was made a on given load.

This paper deals with the estimation of altitude of the drone for which the sensors like ultrasonic, barometric pressure sensors and their characteristics plays a major role. To  estimate the altitude of the drone, we used the matlab software with Simulink. apart from the software and hardware description, we discuss several issues regarding the equipment,abilities and performance of the drone.

Remote hybrid power systems (RHPS) serve local off-grid loads or various island grids when no grid extension is possible. They combine renewable resources, conventional generators and energy storage systems in order to balance the load at any moment, while ensuring power quality and energy security similar to large centralized grids. Modelling such a complex system is crucial for carrying out proper simulations for predicting the system’s behavior and for optimal sizing of components. The model should include an estimation of the renewable resource availability over the period of the simulation, a prediction of the load consumption and time variation, the choice of technologies, a prior dimensioning approach, an energy dispatching strategy between the components and, finally, the behavioral model of all components. This study limits its scope to the simulation of a RHPS composed of solar PV panels, a diesel generator set, and a Li-ion battery bank supplying a dynamic isolated load with a daily demand variation between 10 kW and 80 kW. Methods for building load scenarii are explained first and then, rules of thumbs for selecting the technologies and pre-sizing the components are reviewed. Commonly used dispatching strategies are described before detailing the algorithm of a Matlab behavioral model for the system’s components with an emphasis on the proper prediction of performance and aging for the Li-ion battery model. Finally, a 10-year simulation is carried out over a case study and the results are analyzed.

The purpose of this thesis is to investigate different control strategies on a differential drive vehicle. The vehicle should be able to drive in turns at high speed and slowly when it should park next to a charger. In both these cases, good precision in both orientation and distance to the path is important. A PID and an LQ controller have been implemented for this purpose. The two controllers were first implemented in a simulation environment. After implementing the controllers on the system itself, tests to evaluate the controllers were made to imitate real-life situations. This includes tests regarding driving with different speeds in different turns, tests with load distributions, and tests with stopping accuracy. The existing controller on the system was also tested and compared to the new controllers. After evaluating the controllers, it was stated that the existing controller was the most robust. It was not affected much by the load distribution compared to the new controllers. However, the LQ controller was slightly better in most cases, even though it was highly affected by the load distribution. The PID controller performed best regarding stopping accuracy but was the least robust controller by the three. Since the existing controller has a similar performance as the LQ controller but is more robust, the existing controller was chosen as the best one.