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1996
Conference Paper
Titel
Selection of measuring points and optimization algorithm for automotive door fitting
Abstract
The pose uncertainty of the door rleative to the poly-in white robotized assembly can be tackled with a differential adjusting motion of the robot to keep the clearance between them close to the required. We bound that the popular least square method does not denon of such fitting problems refers to the maximum deviation rather than the sum of squared deviations. Aiming at minimizing the former, a new approach to the optimal adjusting during automotive door assembly is presented. Comparative calculations show: the conventional least square mthod may lead to a result with the actual optimal solution, optained by the new method. This paper focuses on the selection of measuring points and the opimization algorithm.