The purpose of this project is to continue the work on a vehicle model developed in ADAMS/Car and applied with the concept of ACM (Autonomous Corner Module). The project is divided up in two parts. The objective of the first part is to setup a co-simulation environment between ADAMS/Car and MATLAB/Simulink, and evaluate the vehicle model. In the second part a yaw controller is developed using only the rear wheel steering possibilities. The controller will be evaluated when it is applied on the vehicle model. The approach is to develop two models, one simpler in MATLAB/Simulink and one more complex in ADAMS/Car, and verify that they show similar behavior. The models will then be linearized and the control design will be based on the most appropriate linear model. Most of the work has been developing and evaluating the two vehicle models in ADAMS/Car and MATLAB/Simulink. The result was a working co-simulation environment where an evaluation of two different controllers was made. Due to linearization of the ADAMS model was nsuccessful, the controllers were based on the simpler linear Simulink model. Both controllers show similar results. Tests on the ADAMS model showed that it is hard to control both the yaw rate and body slip only by rear wheel steering.

<p>The purpose of this project is to continue the work on a vehicle model developed in ADAMS/Car and applied with the concept of ACM (Autonomous Corner Module). The project is divided up in two parts. The objective of the first part is to setup a co-simulation environment between ADAMS/Car and MATLAB/Simulink, and evaluate the vehicle model. In the second part a yaw controller is developed using only the rear wheel steering possibilities. The controller will be evaluated when it is applied on the vehicle model. </p><p>The approach is to develop two models, one simpler in MATLAB/Simulink and one more complex in ADAMS/Car, and verify that they show similar behavior. The models will then be linearized and the control design will be based on the most appropriate linear model. Most of the work has been developing and evaluating the two vehicle models in ADAMS/Car and MATLAB/Simulink. </p><p>The result was a working co-simulation environment where an evaluation of two different controllers was made. Due to linearization of the ADAMS model was nsuccessful, the controllers were based on the simpler linear Simulink model. Both controllers show similar results. Tests on the ADAMS model showed that it is hard to control both the yaw rate and body slip only by rear wheel steering.</p>

Kyoto University (京都大学) / 0048 / 新制・課程博士 / 博士(工学) / 甲第18966号 / 工博第4008号 / 新制||工||1617 / 31917 / 京都大学大学院工学研究科都市社会工学専攻 / (主査)教授 小池 克明, 教授 石田 毅, 准教授 水戸 義忠 / 学位規則第4条第1項該当

Ultra-wide band (UWB) 6-9 GHz antenna, band pass filter and low-noise amplifier (LNA) optimization using co-simulation of the RF front-end. At higher frequencies, carefully conducted design methodologies are required for RF front-end parameter optimization, such as power gain and low noise figure with low power consumption.

L'objectif consiste, dans le cadre d'un partenariat industriel à proposer une plate-forme de co-simulation permettant l'évaluation de performance et la validation, dans un contexte normatif, d'architecture de protection de systèmes de distribution d'énergie électrique. Pour cela, un système de communication, basé sur une extension de TCP/IP, appelé la norme CEI 61850, est mis en œuvre. Cette norme impose des contraintes de performance du système de communication et précise, par l'utilisation d'une approche objet, comment le système de protection doit être organisé globalement. Le développement de la plate-forme de co-simulation se justifie par le besoin d'être capable d'évaluer les performances d'une architecture en phase de conception, chez le constructeur, et d'autre part de permettre l'interopérabilité entre des portions d'architecture existantes ou développées chez des constructeurs différents.

This thesis identifies and addresses two barriers to the adoption of Long Term Evolution (LTE) Device-to-Device (D2D) communication enabled smart grid applications in out of core network coverage regions. The first barrier is the lack of accessible simulation software for engineers to develop and test the feasibility of their D2D LTE enabled smart grid application designs. The second barrier is the lack of a distributed resource allocation algorithm for LTE D2D communications that has been tailored to the needs of smart grid applications. A solution was proposed to the first barrier in the form of a simulator constructed in Matlab/Simulink used to simulate power systems and the underlying communication system, i.e., D2D communication protocol stack of Long Term Evolution (LTE). The simulator is built using Matlab's LTE System Toolbox, SimEvents, and Simscape Power Systems in addition to an in-house developed interface software to facilitate D2D communications in smart grid applications. To test the simulator, a simple fault location, isolation, and restoration (FLISR) application was implemented using the simulator to show that the LTE message timing is consistent with the relay signaling in the power system. A solution was proposed to the second barrier in the form of a multi-agent Q-learning based resource allocation algorithm that allows Long Term Evolution (LTE) enabled device-to-device (D2D) communication agents to generate orthogonal transmission schedules outside of network coverage. This algorithm reduces packet drop rates (PDR) in distributed D2D communication networks to meet the quality of service requirements of microgrid communications. The PDR and latency performance of the proposed algorithm was compared to the existing random self-allocation mechanism introduced under the Third Generation Partnership Project's LTE Release 12. The proposed algorithm outperformed the LTE algorithm for all tested scenarios, demonstrating 20-40% absolute reductions in PDR and 10-20 ms reductions in latency for all microgrid applications.

Unsicherheiten bei der Exploration von Kohlenwasserstoffreservoiren kann mit einer Teilkopplung von geologischen, geomechanischen und bruchmechanischen Modellen begegnet werden. Durch ein Simulations-Kopplungs-Interface kann etablierte Software herstellerübergreifend genutzt werden, ohne dass zusätzliche Erweiterungen seitens der Hersteller notwendig sind. Bei dieser Kopplung auftretende Maßstabseffekte werden mit zwei eigens entwickelten Triaxialgeräten zur Untersuchung der geomanisch-hydraulischen Zusammenhängen von Festgesteinen betrachtet.

The aim of this thesis is to analyze various kinds of co-simulation techniques and to design integration these techniques into Lissom simulation platform. The first section of this thesis shows capabilities of external interfaces of simulation platforms for HDL languages VHDL, Verilog and SystemVerilog and of tool Matlab. The second section deals with design of synchronization mechanism among Lissom simulation platform and others simulation platforms using mentioned external interfaces. In the last part the testing of implemented solutions and evaluation of results is described.

This Master’s Thesis introducing active preload control of machine tool head supported by a company TOSHULIN, a.s. It presents a way of creating models from rigid body models to flexible bodies and finally to multi-body systems with control loop. The goal of this thesis is create active preload control using a piezo-stack system for simplified linear model of ma-chine tool head.

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第18966号 / 工博第4008号 / 新制||工||1617(附属図書館) / 31917 / 京都大学大学院工学研究科都市社会工学専攻 / (主査)教授 小池 克明, 教授 石田 毅, 准教授 水戸 義忠 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM