7th International Conference On Integrated Modeling And Analysis In Applied Control And Automation Imaaca 2013
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7th International Conference On Integrated Modeling And Analysis In Applied Control And Automation Imaaca 2013
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Author :
language : en
Publisher:
Release Date : 2014
7th International Conference On Integrated Modeling And Analysis In Applied Control And Automation Imaaca 2013 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
The 3rd International Conference On Integrated Modeling And Analysis In Applied Control And Automation Imaaca 2007
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Author :
language : en
Publisher:
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The 3rd International Conference On Integrated Modeling And Analysis In Applied Control And Automation Imaaca 2007 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
The 5th International Conference On Integrated Modeling And Analysis In Applied Control And Automation
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Author : Università degli Studi Dipartimento di Ingegneria della Produzione, Termoenergetica e Modelli Matematici
language : en
Publisher:
Release Date : 2011
The 5th International Conference On Integrated Modeling And Analysis In Applied Control And Automation written by Università degli Studi Dipartimento di Ingegneria della Produzione, Termoenergetica e Modelli Matematici and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Imaaca 2005
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Author : Agostino Bruzzone
language : en
Publisher:
Release Date : 2005
Imaaca 2005 written by Agostino Bruzzone and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
6th International Conference On Integrated Modeling And Analysis In Applied Control And Automation Imaaca 2012
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Author :
language : en
Publisher:
Release Date : 2014
6th International Conference On Integrated Modeling And Analysis In Applied Control And Automation Imaaca 2012 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Model Based Calibration Of Automated Transmissions
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Author : Huang, Hua
language : en
Publisher: Universitätsverlag der TU Berlin
Release Date : 2016-11-18
Model Based Calibration Of Automated Transmissions written by Huang, Hua and has been published by Universitätsverlag der TU Berlin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-18 with Technology & Engineering categories.
With continuous restrictions on emission standards and demands for higher driving comfort, the calibration of shift quality is linked deeply and widely to automated transmission control algorithms. This calibration process is typically implemented with real vehicles on the road under poorly reproducible conditions, where the calibration engineer has no other choice but to try different control parameters till the subjective assessment on the shift quality meets certain requirements, such as shifting comfort or sportiness. Compared with today’s multiplying number of variants in vehicle-engine-transmission combinations and exponential growth of control parameters, this traditional method is backward and costly. An efficient way to rise to the challenge is the model-based automatic calibration. In contrast to the conventional shift quality calibration, this novel method uses a closed loop approach based on a dynamic model instead of human know-how. A shift quality correlated position trajectory is proposed. Compared to the traditional control parameter adjustment method, the guided trajectory has a higher tolerance to the system’s hardware components and a better compatibility with TCUs from diverse suppliers. Since shift quality is not restricted to a general summarized grade, e.g., comfort and sportiness are always two conflicting influence factors in the terms of shift quality calibrations, a multi-objective evolutionary algorithm is applied to search the set of Pareto-optimal front, which includes all the optimal compromised control parameters of the gear shifting trajectory for possible choice. In this work a hydro-mechanical AMT synchronization system is used as an example to explain the proposed optimization process. A Modelica® based non-linear hydro-mechanical AMT system is modeled, which describes the transient behavior during gear shifting in detail. An effective fuzzy sliding-mode position controller is designed for the referenced position tracking during synchronization; in contrast to the conventional trial-and-error tuning method, a genetic algorithm is applied to automatically identify and optimize the sliding-mode controller parameters. A novel multi-objective evolutionary algorithm, MLIA, is developed to find out the optimal control set for the synchronization trajectories. Verification at a transmission test bench shows that this model-based multi-objective optimization method has a guiding capability in automated transmission calibration. Mit deutlich strengeren gesetzlichen Anforderungen hinsichtlich der Abgasemissionen und einer zunehmend anspruchsvolleren Nachfrage bezüglich des Fahrkomforts, rückt die Frage nach der Schaltqualität stärker in den Fokus der Getriebeentwicklung. Die Kalibrierung (umgangssprachlich die Applikation) ist deshalb ein Schwerpunkt bei der Entwicklung von Algorithmen für die Schaltqualität von automatisierten Getriebesteuerungen. Der Kalibrierungsprozess wird in der Regel im Fahrzeugversuch auf der Straße durchgeführt. Der Applikationsingenieur versucht unter diesen nicht reproduzierbaren Bedingungen verschiedene Steuerparameter zu adaptieren. Dies wird für eine Schaltung solange durchgeführt bis die subjektive Beurteilung der Schaltqualität und die zugehörigen Eigenschaften, wie zum Beispiel Schaltkomfort und Sportlichkeit, erfüllt ist. Dieser beschriebene Prozess ist zeit- und personalaufwendig, was mit dem aktuellen Angebot an Motor-Getriebe-Fahrzeugvarianten kaum bewältigt werden kann. Als weitere Herausforderung steigt die Anzahl der kalibrierbaren Parameter der Regler- und Steuerungsmethoden stetig um die Kundenbedürfnisse zu befriedigen, weshalb auch aus Kostensicht ein besserer Prozess gefunden werden muss. Eine effiziente Möglichkeit zur Lösung der skizzierten Problemstellungen ist die modellbasierte automatische Kalibrierung. Im Gegensatz zu der herkömmlich auf Fahrversuche basierende Kalibrierung der Schaltqualität verwendet dieses neue Verfahren ein dynamisches Modell in einer geschlossenen Schleife. Anstelle des Applikationsingenieurs für die Fahrvorgaben wird in der Schleife ein Fahrerregler und ein Optimierungsalgorithmus verwendet, um so eine hohe Reproduzierbarkeit des Schaltereignisses sicherzustellen. Es wird vorgeschlagen, die Bewegung der Schaltstellung zu optimieren, da diese mit der Schaltqualität korreliert. Diametral steht dem die allgemein übliche Regleranpassung verschiedener Parameter für die Synchronisation gegenüber. Die vorgeschlagene Methode der geführten Schaltbewegung weist eine deutlich höhere Toleranz gegenüber der Varianz an Hardwarekomponenten und damit eine bessere Kompatibilität zu den Getriebesteuergeräten (TCUs) verschiedener Lieferanten auf. Die Schaltqualität lässt sich nicht auf ein subjektives Kriterium zusammenfassen, es werden immer unterschiedliche Faktoren wie z.B. Komfort und Sportlichkeit den Schaltvorgang bestimmen. Deshalb wird für die Optimierung des Schaltvorgangs eine mehrkriterieller evolutionärer Algorithmus angewandt, um die Paretofront zu identifizieren, was alle Kompromisse der Schaltbewegungsregelung einschließt. Es wird ein Modell eines hydromechanischen Synchronisationssystems für ein automatisiertes Getriebe als Beispielanwendung benutzt, um den vorgeschlagenen Optimierungsprozess zu demonstrieren. Das nichtlineare hydromechanische Synchronisationssystem wird mit der objektorientierten Sprache Modelica® modelliert. Mit dem Modell werden Schaltvorgänge detailliert beschrieben. Ein Fuzzy-Sliding-Mode-Regler wird für die jeweilige Bewegung der Schaltung während der Synchronisation benutzt. Im Gegensatz zur herkömmlichen empirischen Anpassung der Reglerparameter wird ein genetischer Algorithmus angewendet, um die automatische Erkennung und Bewertung der Parameter vom Fuzzy-Sliding-Mode-Regler zu optimieren. Ein neuartiger evolutionärer mehrkriterieller Algorithmus (MLIA) wurde angewandt, um eine optimale Bewegung der Schaltstellung während der Synchronisierung zu finden. Die Validierung am Getriebeprüfstand zeigt, dass diese modellbasierte Methode der mehrkriteriellen Optimierung in der automatisierten Getriebekalibrierung eine deutliche Verbesserung darstellt.
Creativity In Intelligent Technologies And Data Science
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Author : Alla Kravets
language : en
Publisher: Springer
Release Date : 2017-08-28
Creativity In Intelligent Technologies And Data Science written by Alla Kravets and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-28 with Computers categories.
This book constitutes the refereed proceedings of the Second Conference on Creativity in Intelligent Technologies and Data Science, CIT&DS 2017, held in Volgograd, Russia, in September 2017. The 58 revised full papers and two keynote papers presented were carefully reviewed and selected from 194 submissions. The papers are organized in topical sections on Knowledge Discovery in Patent and Open Sources for Creative Tasks; Open Science Semantic Technologies; Computer Vision and Knowledge-Based Control; Pro-Active Modeling in Intelligent Decision Making Support; Data Science in Energy Management and Urban Computing; Design Creativity in CASE/CAI/CAD/PDM; Intelligent Internet of Services and Internet of Things; Data Science in Social Networks Analysis; Creativity and Game-Based Learning; Intelligent Assistive Technologies: Software Design and Application.
Verfahren Zur Identifikation Nichtlinearer Dynamischer Getriebemodelle
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Author : Nowoisky, Sebastian
language : de
Publisher: Universitätsverlag der TU Berlin
Release Date : 2016-11-18
Verfahren Zur Identifikation Nichtlinearer Dynamischer Getriebemodelle written by Nowoisky, Sebastian and has been published by Universitätsverlag der TU Berlin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-18 with Technology & Engineering categories.
Immer komplexere Fahrzeuge erreichen den Kunden. Der Zielkonflikt zwischen Komfort, Sportlichkeit und geringerem Ressourcenverbrauch ist dank der Automatisierung des Triebstrangs möglich. Mit Entwicklungszyklen von ca. drei Jahren für ein Fahrzeug und einer globalen Arbeitsteilung ist die modellbasierte Entwicklung heute Stand der Technik. Die Parameter der Getriebemodelle werden aus Vorwissen adaptiert oder durch aufwendige Komponententests bestimmt. Ein Getriebemodell zu parametrieren ist eine zentrale Herausforderung für die Entwicklungsingenieure, da nur eine begrenzte Anzahl an Prototypenfahrzeugen und Komponenten zur Verfügung stehen. Diesen skizzierten Prozess durch einen geeigneten Ansatz eines Triebstrangmodells für die Software- und Funktionsentwicklung zu unterstützen, ist eine Problemstellung dieser Arbeit. Zusätzlich wird die Frage beantwortet, wie der Ablauf bestehend aus Versuchsdurchführung und modernen Identifikationsmethoden mit Hilfe eines Getriebeprüfstands strukturiert werden kann. In diesem Beitrag werden Getriebeparameter wie Massenträgheit und Reibmomente durch Strukturierte Rekurrente Neuronale Netze (SRNN) an einem automatisierten Handschaltgetriebe identifiziert. Aufgrund nicht zu vernachlässigender Temperatureinflüsse an den Lagerstellen wird das SRNN erweitert, um eine zweidimensionale Nichtlinearität abbilden zu können. Die Kupplungskapazität, das Verzahnungsspiel und weitere Parameter werden durch automatisierte Versuche am Getriebeprüfstand bestimmt. Abschließend werden exemplarische Versuche in der Simulation am Beispiel eines Doppelkupplungsgetriebes angewandt, um die Generalisierbarbeit der Methodik zu demonstrieren. Modern cars are increasingly complex when they reach their customers. The automation of the powertrain makes it possible to balance the main development targets dynamic, comfort and reduced consumption. With an average development cycle of approximately 3 years for a vehicle and a global division of labor, the model-based development is state of the art. The parameter of new gearbox models are based on adapted models from the past and validated parameterized component tests. It is the key challenge for development engineers to parametrize a transmission model since the number of prototype test and component tests are limited (and its goal it is to reduce this number further). In addition it is shown, how the validate transmission test bench experiments and modern identification methods. Furthermore how it can be structured with a gearbox test bench. To support this software and function development process as outlined before, an drivetrain model approach is suggested. In addition, the sequence of used transmission test bench experiments in combination with modern identification methods is structured. In this thesis transmission parameters such as inertia and friction torques are going to be identified on an automated manual transmission by Structured Recurrent Neural Networks (SRNN). Due to significant effects of temperature at the bearing places, the SRNN is extended to ensure the mapping of a two-dimensional non-linearity. Furthermore, the clutch capacity is determined by an automated test on transmission test bench. Finally, to demonstrate the generalizability of the methology, exemplary experiments trials where performed in the simulation on a dual clutch transmission.
Intelligent Mechatronic Systems
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Author : Rochdi Merzouki
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-27
Intelligent Mechatronic Systems written by Rochdi Merzouki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-27 with Technology & Engineering categories.
Acting as a support resource for practitioners and professionals looking to advance their understanding of complex mechatronic systems, Intelligent Mechatronic Systems explains their design and recent developments from first principles to practical applications. Detailed descriptions of the mathematical models of complex mechatronic systems, developed from fundamental physical relationships, are built on to develop innovative solutions with particular emphasis on physical model-based control strategies. Following a concurrent engineering approach, supported by industrial case studies, and drawing on the practical experience of the authors, Intelligent Mechatronic Systems covers range of topic and includes: An explanation of a common graphical tool for integrated design and its uses from modeling and simulation to the control synthesis Introductions to key concepts such as different means of achieving fault tolerance, robust overwhelming control and force and impedance control Dedicated chapters for advanced topics such as multibody dynamics and micro-electromechanical systems, vehicle mechatronic systems, robot kinematics and dynamics, space robotics and intelligent transportation systems Detailed discussion of cooperative environments and reconfigurable systems Intelligent Mechatronic Systems provides control, electrical and mechanical engineers and researchers in industrial automation with a means to design practical, functional and safe intelligent systems.
Bond Graphs For Modelling Control And Fault Diagnosis Of Engineering Systems
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Author : Wolfgang Borutzky
language : en
Publisher: Springer
Release Date : 2016-12-31
Bond Graphs For Modelling Control And Fault Diagnosis Of Engineering Systems written by Wolfgang Borutzky and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-31 with Technology & Engineering categories.
This book presents theory and latest application work in Bond Graph methodology with a focus on: • Hybrid dynamical system models, • Model-based fault diagnosis, model-based fault tolerant control, fault prognosis • and also addresses • Open thermodynamic systems with compressible fluid flow, • Distributed parameter models of mechanical subsystems. In addition, the book covers various applications of current interest ranging from motorised wheelchairs, in-vivo surgery robots, walking machines to wind-turbines.The up-to-date presentation has been made possible by experts who are active members of the worldwide bond graph modelling community. This book is the completely revised 2nd edition of the 2011 Springer compilation text titled Bond Graph Modelling of Engineering Systems – Theory, Applications and Software Support. It extends the presentation of theory and applications of graph methodology by new developments and latest research results. Like the first edition, this book addresses readers in academia as well as practitioners in industry and invites experts in related fields to consider the potential and the state-of-the-art of bond graph modelling.