Books and Book Editorships:

A. Eichhorn:
"Ein Beitrag zur Identifikation von dynamischen Strukturmodellen mit Methoden der adaptiven Kalman-Filterung";
Verlag der Bayerischen Akademie der Wissenschaften (in Kommission Verlag C. H. Beck), München, 2005, ISBN: 3-7696-5024-7; 125 pages.

English abstract:
Within the field of research `Identification of Dynamic Systems´ this dissertation was created at the `Institute for Applications of Geodesy to Engineering´ (University of Stuttgart) and is investigating two different tasks. The first task is related to deformation analysis and contains the development of a temperature deformation model for the close-to-reality prediction / simulation of the effect of one-sided dynamic thermal loads on bar-shaped bodies. This topic is motivied by mechanical engineering searching new methods for the indirect compensation of thermal influences on highly precise machine tools (i.e. robot arms, etc.). In civil engineering the analysis of the thermal bend of slim con-structions like towers or pillars under sun exposure is of great interest.
The central part of the deformation model is represented by a finite element topology quantifying the non-stationary temperature distribution inside the body. The topology is realized by a system of partial differential equations which base on FOURIERS law of heat flow. The parametric identification of the structural model (`white box´-model) is carried out by means of adaptive KALMAN-filtering. In lab tests with an aluminium column the estimation of thermal diffusivity suceeds with a deviation of only 0,2% of the theoretical value. The calibrated model is verified by independent temperature measurements. It is shown that the deviations between the calculated and the measured temperature distri-bution are within the 3-range of the thermocouples (T  0,4 K). Consequently the model is suitable for close-to-reality calculations considering a variable spectrum of dynamic thermal loads. The combination with a deformation module enables the prognosis of the columns thermal bend with a relative error of only 3% related to the maximum deformation amplitude. The result fulfills the requirements for indirect compensation methods in industrial manufacturing.
The second task contains the parametric identification of a vehicle movement. On behalf of the DaimlerChrysler AG a module for map-independent positioning is developed. The central element of the module is represented by a KALMAN-filter with causative modified kinematic motion equations. The system equations explicitly consider measured changes in orientation whereby the usual inertia of kinematic models is significantly reduced. Testing the positioning module in different scenarios on highways, country roads and in city centres accuracies within a range of sP  2...3 m are achieved.

Created from the Publication Database of the Vienna University of Technology.