Dependability of Self-Optimizing Mechatronic Systems

Dependability of Self-Optimizing Mechatronic Systems PDF

Author: Jürgen Gausemeier

Publisher: Springer Science & Business Media

Published: 2014-01-23

Total Pages: 206

ISBN-13: 3642537421

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Intelligent technical systems, which combine mechanical, electrical and software engineering with methods from control engineering and advanced mathematics, go far beyond the state of the art in mechatronics and open up fascinating perspectives. Among these systems are so-called self-optimizing systems, which are able to adapt their behavior autonomously and flexibly to changing operating conditions. The Collaborative Research Center 614 "Self-optimizing concepts and structures in mechanical engineering" pursued the long-term aim to enable others to develop dependable self-optimizing systems. Assuring their dependability poses new challenges. However, self-optimization also offers the possibility to adapt the system's behavior to improve dependability during operation. The aim of this book is to provide methods and techniques to master the challenges and to exploit the possibilities given by self-optimization. The reader will be able to develop self-optimizing systems that fulfill and surpass today’s dependability requirements easily. This book is directed to researchers and practitioners alike. It gives a brief introduction to the holistic development approach for self-optimizing mechatronic systems and the steps required to assure a dependable product design starting with the very early conceptual design phase. A guideline to select suitable methods for each step and the methods themselves are included. Each method is individually introduced, many examples and full references are given.

Design Methodology for Intelligent Technical Systems

Design Methodology for Intelligent Technical Systems PDF

Author: Jürgen Gausemeier

Publisher: Springer Science & Business Media

Published: 2014-01-28

Total Pages: 372

ISBN-13: 3642454356

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Intelligent technical systems, which combine mechanical, electrical and software engineering with control engineering and advanced mathematics, go far beyond the state of the art in mechatronics and open up fascinating perspectives. Among these systems are so-called self-optimizing systems, which are able to adapt their behavior autonomously and flexibly to changing operating conditions. Self-optimizing systems create high value for example in terms of energy and resource efficiency as well as reliability. The Collaborative Research Center 614 "Self-optimizing Concepts and Structures in Mechanical Engineering" pursued the long-term aim to open up the active paradigm of self-optimization for mechanical engineering and to enable others to develop self-optimizing systems. This book is directed to researchers and practitioners alike. It provides a design methodology for the development of self-optimizing systems consisting of a reference process, methods, and tools. The reference process is divided into two phases the domain-spanning conceptual design and the domain-specific design and development. For the conceptual design a holistic approach is provided. Domain-specific methods and tools developed especially for the design and development of self-optimizing systems are described and illustrated by application examples. This book will enable the reader to identify the potential for self-optimization and to develop self-optimizing systems independently.

Towards an Rtos for Self-Optimizing Mechatronic Systems

Towards an Rtos for Self-Optimizing Mechatronic Systems PDF

Author: Simon Oberthür

Publisher: Sudwestdeutscher Verlag Fur Hochschulschriften AG

Published: 2011-06

Total Pages: 180

ISBN-13: 9783838126685

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The next generation of advanced mechatronic systems is expected to behave more intelligently than today's systems. They adjust their goals and behavior according to changes of the environment or system. Characteristic for these modern applications are the increasing dynamics. To handle this dynamics new approaches in the underlying system software are required. Predictability is of paramount importance for mechatronic systems. Thus, their design has to take the worst-case into account and the maximum required resources are usually allocated upfront by each process. This is safe, but usually results in a rather poor resource utilization. For a better utilization of the system the Flexible Resource Manager puts temporarily unused resources at other applications' disposal. To consume freed resources the applications can specify additional modes with higher resource consumptions. To allow over-allocation of resources under hard real-time constrains an acceptance test is checking, if a possible conflict can be solved without violating deadlines of hard real-time tasks. An atomic reconfiguration process is necessary, with the constraint that no hard timing constraint is violated.

Architecture and Design Methodology of Self-Optimizing Mechatronic Systems

Architecture and Design Methodology of Self-Optimizing Mechatronic Systems PDF

Author: Jurgen Gausemeier

Publisher:

Published: 2010

Total Pages:

ISBN-13: 9789533070414

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The paradigm of self-optimization will enable fascinating perspectives for the future development of mechanical engineering systems. These systems rely on the close interaction of mechanics, electrical engineering/electronics, control engineering and software engineering, which is aptly expressed by the term mechatronics. At present there is no established methodology for the conceptual design of mechatronic systems, let alone for self-optimizing systems. Concerning the conceptual design of such systems, the main challenge consists in the specification of a domain-spanning principle solution, which describes the basic construction as well as the mode of operation in a domain-spanning way. The presented specification technique offers the possibility to create a principle solution for advanced mechatronic systems, with regard to self-optimizing aspects, such as "application scenarios" and "system.

Optimization-based Reliability Control of Mechatronic Systems

Optimization-based Reliability Control of Mechatronic Systems PDF

Author: Tobias Meyer

Publisher:

Published: 2016

Total Pages: 0

ISBN-13:

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Reliability-adaptive systems allow an adaptation of system behavior based on current system reliability. They can extend their lifetime at the cost of lowered performance or vice versa. This can be used to adapt failure behavior according to a maintenance plan, thus increasing availability while using up system capability fully. To facilitate setup, a control algorithm independent of a degradation model is desired. A closed loop control technique for reliability based on a health index, a measure for system degradation, is introduced. It uses self-optimization as means to implement behavior adaptation. This is based on selecting the priorities of objectives that the system pursues. Possible working points are computed beforehand using model-based multiobjective optimization techniques. The controller selects the priorities of objectives and this way balances reliability and performance. As exemplary application, an automatically actuated single plate dry clutch is introduced. The entire reliability control is setup and lifetime experiments are conducted. Results show that the variance of time to failure is reduced greatly, making the failure behavior more predictable. At the same time, the desired usable lifetime can be extended at the cost of system performance to allow for changed maintenance intervals. Together, these possibilities allow for greater system usage and better planning of maintenance. ; eng

Intelligent Robotics and Applications

Intelligent Robotics and Applications PDF

Author: Sabina Jeschke

Publisher: Springer

Published: 2011-12-03

Total Pages: 645

ISBN-13: 3642254896

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The two volume set LNAI 7101 and 7102 constitute the refereed proceedings of the 4th International Conference on Intelligent Robotics and Applications, ICIRA 2011, held in Aachen, Germany, in November 2011. The 122 revised full papers presented were thoroughly reviewed and selected from numerous submissions. They are organized in topical sections on progress in indoor UAV, robotics intelligence, industrial robots, rehabilitation robotics, mechanisms and their applications, multi robot systems, robot mechanism and design, parallel kinematics, parallel kinematics machines and parallel robotics, handling and manipulation, tangibility in human-machine interaction, navigation and localization of mobile robot, a body for the brain: embodied intelligence in bio-inspired robotics, intelligent visual systems, self-optimising production systems, computational intelligence, robot control systems, human-robot interaction, manipulators and applications, stability, dynamics and interpolation, evolutionary robotics, bio-inspired robotics, and image-processing applications.

Biologically Inspired Cooperative Computing

Biologically Inspired Cooperative Computing PDF

Author: Yi Pan

Publisher: Springer Science & Business Media

Published: 2006-08

Total Pages: 217

ISBN-13: 0387346325

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This volume presents proceedings from the 19th IFIP World Computer Congress in Santiago, Chile. The proceedings of the World Computer Congress are a product of the gathering of 2,000 delegates from more than 70 countries to discuss a myriad of topics in the ICT domain. Of particular note, this marks the first time that a World Computer Congress has been held in a Latin American country. Topics in this series include: The 4th International Conference on Theoretical Computer Science Education for the 21st Century- Impact of ICT and Digital Resources Mobile and Wireless Communication Networks Ad-Hoc Networking Network Control and Engineering for QoS, Security, and Mobility The Past and Future of Information Systems: 1976-2006 and Beyond History of Computing and Education Biologically Inspired Cooperative Computing Artificial Intelligence in Theory and Practice Applications in Artificial Intelligence Advanced Software Engineering: Expanding the Frontiers of Software For a complete list of the more than 300 titles in the IFIP Series, visit springer.com. For more information about IFIP, please visit ifip.org.

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