Thesis (M.S.)--University of Florida, 2005. / Title from title page of source document. Document formatted into pages; contains 42 pages. Includes vita. Includes bibliographical references.

Thesis (M.S.)--Brigham Young University. Dept. of Electrical and Computer Engineering, 2005. / Includes bibliographical references (leaves 83-84).

Mainly based on Li Li's Ph. D. dissertation: University of Arizona, Tucson, 2005. / Includes bibliographical references and index.

Mainly based on Li Li's Ph. D. dissertation: University of Arizona, Tucson, 2005. / Includes bibliographical references and index. Also available in print.

Thesis (Ph.D.)--Aberdeen University, 2009. / Title from web page (viewed on July 8, 2009). Includes bibliographical references.

Mainly based on Li Li's Ph. D. dissertation: University of Arizona, Tucson, 2005. / Includes bibliographical references and index.

Thesis (Ph. D.)--Oregon State University, 2010. / Printout. Includes bibliographical references (leaves 134-142). Also available on the World Wide Web.

Η παρούσα διπλωματική εργασία παρουσιάζει τα Ευφυή Συστήματα ελέγχου και τις εφαρμογές τους στον έλεγχο συστημάτων ηλεκτρικής ενέργειας. Τα διάφορα είδη Σταθεροποιητών Συστημάτων Ισχύος (ΣΣΙ) παρουσιάζονται επίσης. Τα ηλεκτρικά συστήματα είναι δυναμικά συστήματα και υποβάλλονται συνεχώς σε διαταραχές. Είναι σημαντικό οι διαταραχές αυτές να μην οδηγούν το σύστημα σε αστάθεια. Για αυτόν το λόγο, πρόσθετα σήματα που προέρχονται από την απόκλιση ταχύτητας, την απόκλιση διέγερσης και την ροπή επιτάχυνσης εισάγονται στους ρυθμιστές τάσης. Η συσκευή που παρέχει αυτά τα σήματα αναφέρεται ως Σταθεροποιητής Συστημάτων Ισχύος. Η χρήση των Σταθεροποιητών Συστημάτων Ισχύος είναι πολύ συχνή στη λειτουργία των μεγάλων συστημάτων ηλεκτρικής ενέργειας. Οι συμβατικοί Σταθεροποιητές Συστημάτων Ισχύος που χρησιμοποιούν την αντιστάθμιση προήγησης-καθυστέρησης φάσης, όπου οι ρυθμίσεις κέρδους σχεδιάζονται για τις συγκεκριμένες συνθήκες λειτουργίας, δίνουν φτωχές επίδοσεις υπό τις διαφορετικές συνθήκες φόρτισης. Επομένως, είναι πολύ δύσκολο να σχεδιαστεί ένας σταθεροποιητής που θα μπορούσε να επιτύχει καλές επιδόσεις σε διάφορες συνθήκες λειτουργίας των συστημάτων ηλεκτρικής ενέργειας. Σε μία προσπάθεια να καλυφθεί ένα ευρύ φάσμα των συνθηκών λειτουργίας,τα Ευφυή Συστήματα ελέγχου έχουν προταθεί ως πιθανή λύση για να υπερνικηθεί αυτό το πρόβλημα. Σε αυτήν την εργασία, μια συστηματική προσέγγιση στο σχέδιο ελέγχου Ασαφούς λογικής προτείνεται. Παρουσιάζεται η μελέτη του Σταθεροποιητή Συστημάτων Ισχύος Ασαφούς λογικής για την αύξηση της ευστάθειας ενός συστήματος μιας μηχανής συνδεδεμένης σε άπειρο ζυγό. Προκειμένου να ολοκληρωθεί η αύξηση της ευστάθειας, η απόκλιση ταχύτητας και η επιτάχυνση του ρότορα της σύγχρονης γεννήτριας λαμβάνονται ως είσοδοι στον ελεγκτή ασαφούς λογικής. Αυτές οι μεταβλητές έχουν σημαντική επίδραση στην απόσβεση των μηχανικών ταλαντώσεων των αξόνων των γεννητριών. Τα σήματα ευστάθειας υπολογίστηκαν χρησιμοποιώντας την ασαφή συνάρτηση συμμετοχής ανάλογα με αυτές τις μεταβλητές. Το Simulink/Μatlab χρησιμοποιήθηκε στην εφαρμογή της μελέτης. Η απόδοση του συστήματος με το Σταθεροποιητή Συστημάτων Ισχύος Ασαφούς λογικής συγκρίνεται με το σύστημα με το συμβατικό Σταθεροποιητή Συστημάτων Ισχύος καθώς και με το σύστημα χωρίς Σταθεροποιητή Συστημάτων Ισχύος. / In this thesis the different types of intelligent control systems and the various techniques used in power system stabilizers are considered. The power system is a dynamic system and it is constantly being subjected to disturbances. It is important that these disturbances do not drive the system to unstable conditions. For this purpose, additional signals derived from speed deviation, excitation deviation and accelerating power are injected into voltage regulators. The device to provide these signals is referred as power system stabilizer. The use of power system stabilizers has become very common in operation of large electric power systems. The conventional PSS which uses lead-lag compensation, where gain settings designed for specific operating conditions, is giving poor performance under different loading conditions. Therefore, it is very difficult to design a stabilizer that could present good performance in all operating points of electric power systems. In an attempt to cover a wide range of operating conditions, intelligent control systems have been suggested as a possible solution to overcome this problem. Inittialy in this thesis, an introduction of power system control and the different types of stabilizers is briefly described. Afterwards, the system modeling and power system stabilizer model is presented. Finally, a systematic approach to fuzzy logic control design is proposed. The study of fuzzy logic power system stabilizer for stability enhancement of a single machine infinite bus system is presented. In order to accomplish the stability enhancement, speed deviation and acceleration of the rotor synchronous generator are taken as the inputs to the fuzzy logic controller. These variables take significant effects on damping the generator shaft mechanical oscillations. The stabilizing signals were computed using the fuzzy membership function depending on these variables. Simulink Block Design and Matlab is utilized in implementing the study. The performance of the system with fuzzy logic based power system stabilizer is compared with the system having conventional power system stabilizer and system without power system stabilizer.

Thesis (MScEng (Industrial Engineering))--University of Stellenbosch, 2008. / Robot control by TCP/IP communication is investigated in this thesis for existing robots used in tertiary education. The request for newer software for robotic computer control came from the University of Stellenbosch Industrial Engineering department where existing software dating back to 1988 is still in use. A thorough investigation into the research and technologies available is followed by a discussion on the proposed software to adhere to the requirement of compatibility with existing languages in use by the department and provide tools to assist in future research in robotic manipulators and control. The proposed software solution uses a client/server model running over an IP-based network providing online and offline programming with visual feedback by means of video streaming and 3D simulations, developed as separate modules combined into an effective tool for future research and development.

Made available in DSpace on 2014-06-11T19:30:51Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-02-24Bitstream added on 2014-06-13T18:41:00Z : No. of bitstreams: 1 000751146.pdf: 4139134 bytes, checksum: f3feebece413982481c6daf8b8d857cf (MD5) / A evasão escolar é um dos problemas mais complexos e cruciais no âmbito da educação. Está presente e é motivo de preocupação nos vários níveis e modalidades de ensino, além de ferir o princípio da dignidade humana. No que tange ao ensino superior, internacionalmente, o fenômeno é objeto de atenção e de cuidado, no intuito de aumentar os índices de permanência e conclusão dos estudantes de graduação e minimizar os prejuízos sociais, econômicos, políticos, acadêmicos e financeiros causados a todos os envolvidos no processo educacional. Nesse contexto, é imprescindível o desenvolvimento de métodos e instrumentos eficientes e eficazes para predição, avaliação e acompanhamento de estudantes em risco de evasão, possibilitando o planejamento e a adoção de medidas proativas no intuito de minimizar a situação. Assim sendo, esta pesquisa tem por objetivo apresentar as potencialidades de um sistema inteligente capaz de identificar, de maneira proativa, continuada e acurada, o grupo de risco de evasão discente, da educação clássica-presencial, no ensino de nível superior. No desenvolvimento deste sistema foi utilizada uma das técnicas da inteligência artificial, as Redes Neurais Artificiais, mais especificamente, a Rede Neural ARTMAP-Fuzzy, uma rede neural da família ART (Adaptive Resonance Theory) que possibilita o aprendizado continuado do sistema. Para o treinamento e teste da Rede Neural e, posteriormente, a validação do sistema proposto foram utilizados os dados socioeconômicos e acadêmicos dos estudantes matriculados nos cursos superiores de tecnologia do Instituto Federal de Mato Grosso - IFMT. Os dados que compuseram os vetores de entrada do sistema foram coletados a partir de dois bancos de dados do sistema de informação do IFMT, respectivamente, o Q-seleção e o Q-Acadêmico. Este sistema faz a classificação dos padrões de entrada em propensos... / School dropout is one of the most complex and crucial problems in the field of education. It permeates and afflicts the several levels and teaching modalities, besides hurting the principle of human dignity. In relation to higher education, internationally, the phenomenon is an object of attention and care, aiming to increase the indexes of permanence and completion rate of the undergraduate students and minimize social, economic, political and financial damage caused to all involved in the educational process. In this context, it is fundamental to develop efficient and effective methods and instruments for prediction, assessment and monitoring of the students at risk of dropping out, making the planning and the adoption of proactive actions possible for the improvement of the situation. Thus, this study aims to present the potentialities of an intelligent system able to identify, in a proactive, continued and accurate way, the student dropout risk group in higher education classroom courses. In the development of this system one of the artificial intelligence techniques was used, the Artificial Neural Networks, more specifically, the Fuzzy-ARTMAP Neural network, a neural network of the ART (Adaptive Resonance Theory) family which makes the continued learning of the system possible. For the training and test of the Neural Network and, later, the validation of the system proposed the socio-economic and academic records of the students enrolled in the technology courses of the Federal Institute of Mato Grosso – IFMT were used. The data that constituted the input vectors of the system were extracted from two database of the IFMT information system, respectively, the Q-selection and the Q-Academic. This system classifies the input patterns in school dropout propensity. The consistence of the results, showing a success rate of the dropout group around 95% and 100% and the overall mean accuracy around ...