Thesis (Doctoral)--Königl. Technische Hochschule zu München, 1911.

Thesis (M.S.)--Virginia Polytechnic Institute, 1962. / Vita. Abstract. Includes bibliographical references (leaves 116-117). Also available via the Internet.

Thesis (M.S.)--Brigham Young University. Dept. of Mechanical Engineering, 1999. / Includes bibliographical references (p. 117-124).

The design of a practical torque sensing governor which can be used with any type of prime mover and load was accomplished. An investigation was performed to determine the advantages of such a governor as applied to a small internal combustion engine. The characteristics of the engine, torque sensor, and load were determined in order that the system composed of the aforementioned elements could be simulated on an analog computer. The simulated system was governed by a simulated torque sensing governor and optimized, then the same procedure was followed with a simulated proportional-integral-derivative governor. The real system was then governed by each type of governor using the optimum values of governor parameters obtained from the simulated system. The control response curves of the real and simulated systems using both governors were obtained by application of a step-change in load. From these response curves it was determined that for both the real and simulated systems the torque sensing governor produced less speed error for less time than the proportional-integral-derivative governor. Open-loop frequency response data were taken for the real system using each governor and the Nyquist stability criteria applied. The Nyquist criteria showed the system to be stable when either governor was used. The Nyquist plots showed that the torque sensor reduced phase lag more than the derivative component of conventional control. / Master of Science

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1980. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographical references. / by Gregory Allen Thomas. / M.S.

Cette thèse porte sur la modélisation, la réduction et la commande des grands systèmes électriques.En terme de modélisation et de réduction, l’objectif principal est de développer une méthode de réduction des modèles dynamiques des systèmes électriques. Cette réduction a pour objet de répondre à une situation particulière dans laquelle toutes les données du système à réduire ne sont pas connues.En terme de commande, l’objectif est la conception de commandes robustes coordonnées pour répondre aux nouvelles contraintes des grands systèmes électriques. Ces approches doivent respecter trois niveaux de coordination et deux nouvelles contraintes. Les trois niveaux de coordination concernent la prise en compte simultanée des oscillations électromécaniques interzones et locaux, la coordination de la synthèse de régulateurs pour plusieurs alternateurs, et la coordination du réglage des paramètres (gains et constantes de temps) des régulateurs de tension (les boucles stabilisatrices PSS) avec le réglage des paramètres des régulateurs de turbine des alternateurs. Les contraintes sont liées à la stabilité et la robustesse des régulateurs proposés. / This thesis concerns modeling, reduction, and control of large-scale interconnected power systems. In modeling and reduction term, the main objective is to develop a new method to construct low-order model or dynamic equivalent of a large-scale power system. This method must be used to reduce a power system models even when information of the whole power system is not completely available. In control term, the objective is the synthesis of coordinated and robust controller for large scale power systems. These new approaches have to respect three coordinated levels and two new constraints. The Three coordinated levels concern: simultaneous damping of the electromechanical inter-area and local modes, coordinated synthesis of several alternator regulators and coordinated tuning of parameters of Standard Power Stabilizer (PSS) and speed regulators. The constraints are related to the stability and the robustness of the proposed regulators.