Location of Repository

Application of WINROSA for controller adaptation in robotics and classification in quality control

By T. Slawinski, Dortmund Univ. (Germany). Faculty of Electrical Engineering), H. (Dortmund Univ. (Germany). Faculty of Electrical Engineering) Kiendl, U. Schwane, J. Praczyk, A. Krone, H. Jessen, Dortmund Univ. (Germany). Sonderforschungsbereich 531 - Design und Management Komplexer Technischer Prozesse und Systeme mit Methoden der Computational Intelligence and Stuttgart (Germany) D. (Daimler-Benz AG Lieske

Abstract

This paper presents two applications of the WINROSA software tool. In the first application a data-based generated fuzzy modul is used to adapt the parameters of the position controller of an industrial robot to optimise the continuous path accuracy. It is shown how to learn from good and poor control strategies. The second application is the classification of automatic gear boxes by 149 characteristics. It is demonstrated that a data-based generated fuzzy modul is a promising approach for handling this very complex problem. A new method for complexity reduction is used to reduce the number of necessary process characteristics by analysing their relevance for the classification. (orig.)Available from TIB Hannover: RR 8071(98-46)+a / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

Topics: 09H - Computer software, programming, 09N - Robotics, SOFTWARE APPLICATIONS, POSITION CONTROLLER, FUZZY MODUL, INDUSTRIAL ROBOT, CONTROL STRATEGIES, QUALITY CONTROL, PROCESS CHARACTERISTICS
Year: 1998
OAI identifier:
Provided by: OpenGrey Repository
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://hdl.handle.net/10068/15... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.