Home
 
   Home
 General Info
   Overview
   People
   Visitor Info
   Links
   Impressum
 Research
   Topics
   Publications
   Awards
 Education
   Courses
   Thesis Projects
   eLearning
   Bulletin Board
   Student
     Exchange
   More...
 News
   Seminars
   Events
   In the Press
   Jobs
 
printable view back

Einladung zum Vortrag im Kolloquium Technische Kybernetik

  Pushing motion control systems to their limits
using numerical optimization techniques

Prof. Dr. Jan Swevers
Production Engineering, Machine Design and Automation (PMA) Section
Katholieke Universiteit Leuven

Tuesday, 6. December 2011, 4:00 p.m.
IST-Seminar-Room 3.243 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen

Abstract

Recent advances in mathematical optimization provide new opportunities to improve the performance of motion systems and to push them to their limits. This however requires a unique combination of expertise in numerical optimization and motion control design and implementation, a combination which is present at our Optimization in Engineering Center (OPTEC). This lecture discusses some of OPTEC’s realizations in the field of motion control where this unique combination of expertise has led to the formulation of control design problems (i) as convex programs that can be solved efficiently to a global optimum, allowing to trade-off conflicting design objectives in a systematic way, and (ii) as dynamic embedded optimization problems that are solved in real-time using reliable and fast numerical solution methods. Experimental validations of these design methods on mechatronic systems are presented.

Biographical Information

Jan Swevers received the M.Sc. degree in electrical engineering and the Ph.D. degree in mechanical engineering from the Katholieke Universiteit Leuven (K.U.Leuven), Belgium, in 1986 and 1992, respectively. He is full professor in the Department of Mechanical Engineering, Division Production Engineering, Machine Design and Automation (PMA), of K.U.Leuven. His research focuses on motion control and optimization: robust and iterative learning control design methodologies for (non-)linear multi-variable systems, identification and control of robot manipulators, modeling and compensation of friction in mechatronic systems, dynamic and embedded optimization for motion control systems.



Weitere Informationen:
Prof. Dr.-Ing. Frank Allgöwer · Institut für Systemtheorie und Regelungstechnik · 0711 685 67738 · allgower@ist.uni-stuttgart.de
Uni logo Universität Stuttgart