Summary: Published at the fourth meeting of the European Concerted Action on Process Tomography (ECAPT). Bergen, Norway,
April 1995.
Application of a New Iterative Minimization Method to Vision­Guided
Flame Control 1
L. Oest, H. Burkhardt
Technische Informatik I, Technische Universit¨at Hamburg­Harburg, D­21071 Hamburg, Germany
ABSTRACT: This paper presents a new iterative minimization method for camera­based
flame control applying digital image analysis. The method is an extension to the Gauss­
Newton iteration. The controller is able to ``learn'' process states which are set up by a human
expert. The controller properties are discussed in terms of convergence of the optimization
method. Experimental results are presented to emphasize the controller properties.
KEYWORDS: Closed­loop Control, Image Processing, Minimization, Combustion.
1 INTRODUCTION
Combustion is a turbulent reactive fluid dynamic process. The interaction of chemical reactions, heat
transfer and fluid dynamics makes it impossible to model these multiphase flows in the full spatial
domain. Local point measurements give only little information about the process state. On the other
hand, information about spatial distributions, e.g. temperature, concentrations and velocity fields, directly
indicates the origin of undesired burning conditions.
controller camera
oxygen combustible

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

Collections: Computer Technologies and Information Sciences