SFB 614:  Self-Optimizing Concepts and Structures in Mechanical Engineering

• Subject Area: Mechanical and Industrial Engineering ; Computer Science, Systems and Electrical Engineering
• Term: from 2002 to 2013
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 5485260

Information technology is increasingly penetrating the field of conventional mechanical engineering, and this offers considerable potential for innovation. This is expressed in the term "mechatronics", which was itself formed by conjoining "mechanics" and "electronics". It describes the close interaction between mechanical science, electronics, control engineering, and software. Future systems in the area of mechanical engineering will comprise configurations of intelligent system elements. The communication and cooperation between intelligent system elements characterize the behavior of the overall system. In terms of software engineering, this involves distributed systems of interacting agents which opens up fascinating prospects for the design of future mechanical engineering products. The concept of self-optimization characterizes this perspective: Self-optimization enables empowered systems with inherent "intelligence" which are able to react autonomously and flexibly to changing environmental conditions. To realize the vision of mechanical engineering products that contain partial intelligence a toolset for designing self-optimizing systems is needed. This is the deciding factor in leveraging future research results, because only a well-documented and well-tested toolkit can help the industry successfully develop self-optimizing systems. Consequently the subsequent goals and research programs can be identified:
-- Fundamentals and potentials of self-optimization. Scientific penetration of the paradigm of self-optimization in an engineering context.
-- Design methods and toolsets. Establishing the methodological and tool requirements for the development of innovative systems that rely on the paradigm of self-optimization.
-- Implementation methods. Realization of self-optimization on the levels of hardware, system-software and controller-software.
-- Self-optimizing products and systems. Design and prototypical realization of new modules, products and systems in order to validate above mentioned methods and toolsets and to bring forward product innovation.
For demonstration purposes the "Neue Bahntechnik Paderborn" (Innovative Railway System Paderborn) project offers a powerful research infrastructure.

• DFG Programme: Collaborative Research Centres

Completed projects

• A01 - Development and Application of Methods for Multiobjective Optimization and Optimal Control and for the Computation of Dynamical Behavior of Hybrid Systems (Project Heads Dellnitz, Michael ;  Ober-Blöbaum, Sina )
• A02 - Methods for Systematic Decision Making in Self-Optimizing Systems (Project Heads Dangelmaier, Wilhelm ;  Gausemeier, Jürgen ;  Kleinjohann, Bernhard )
• B01 - Design Techniques for Safety-Critical, Self-Optimizing Multi-Agent Systems in the Context of Mechatronic (Project Heads Schäfer, Wilhelm ;  Wehrheim, Heike )
• B02 - Design Processes, Methods and Tools for the Design of Self-Optimizing Systems (Project Heads Gausemeier, Jürgen ;  Schäfer, Wilhelm )
• B03 - Virtual Experimentation Environment for the Analysis of Self-Optimizing Systems (Project Heads Gausemeier, Jürgen ;  Rammig, Franz-Josef )
• C01 - Hardware Reconfiguration of Microelectronic Components in Self-Optimizing Mechatronic Systems (Project Heads Porrmann, Mario ;  Rammig, Franz-Josef ;  Rückert, Ulrich )
• C02 - Real-Time Communication and Operating System Services for Self-Optimizing Systems (Project Heads Rammig, Franz-Josef ;  Rückert, Ulrich )
• C03 - Realization of Hierarchical, Self-Optimizing and Behavior-Based Control Systems (Project Heads Dellnitz, Michael ;  Kleinjohann, Bernhard ;  Trächtler, Ansgar )
• D01 - Design and Validation of Self-Optimizing Electrical Drives, Energy-Storage Systems, and Actuator Groups (Project Heads Böcker, Joachim ;  Fröhleke, Norbert ;  Trächtler, Ansgar ;  Zimmer, Detmar )
• D02 - Development and Implementation of Techniques for Self-Optimization of Entire Systems in the Context of Energy Management, Vehicle Dynamics Control and Dependability (Project Heads Böcker, Joachim ;  Hemsel, Tobias ;  Sextro, Walter ;  Trächtler, Ansgar )
• K - Central Tasks of the Collaborative Research Center (Project Head Gausemeier, Jürgen )
• T01 - Spezifikationstechniken - Domänenübergreifende Modellierung von Prinziplösungen (Project Head Gausemeier, Jürgen )
• T02 - Hybride Modellierung - Integration hybrider Modellierungs- und Validierungstechniken in CAMeL-View (Project Head Schäfer, Wilhelm )
• T03 - Selbstoptimierender HiL-Prüfstand für den Test von Motorsteuergeräten (Project Head Trächtler, Ansgar )
• T04 - Flexibles Ressourcenmanagement in der Praxis - Ein dynamischer Echtzeitbetriebssystemdienst (Project Head Rammig, Franz-Josef )
• T05 - Dynamisch rekonfigurierbare Hardware für Echtzeitanwendungen (Project Heads Porrmann, Mario ;  Rückert, Ulrich )
• T07 - FPGA-basierte selbstoptimierende Antriebsregelung (Project Head Böcker, Joachim )

• Applicant Institution: Universität Paderborn
• Spokesperson: Professor Dr.-Ing. Jürgen Gausemeier