Linköping studies in science and technology. Thesis. No. 1343 On Kinematic Modelling and Iterative Learning Control of Industrial Robots Johanna Wallén LERTEKN REG IK AU L TO RO MATIC CONT LINKÖPING Division of Automatic Control Department of Electrical Engineering Linköping University, SE-581 83 Linköping, Sweden http://www.control.isy.liu.se
[email protected] Linköping 2008 This is a Swedish Licentiate’s Thesis. Swedish postgraduate education leads to a Doctor’s degree and/or a Licentiate’s degree. A Doctor’s Degree comprises 240 ECTS credits (4 years of full-time studies). A Licentiate’s degree comprises 120 ECTS credits, of which at least 60 ECTS credits constitute a Licentiate’s thesis. Linköping studies in science and technology. Thesis. No. 1343 On Kinematic Modelling and Iterative Learning Control of Industrial Robots Johanna Wallén
[email protected] www.control.isy.liu.se Department of Electrical Engineering Linköping University SE-581 83 Linköping Sweden ISBN 978-91-85715-00-8 ISSN 0280-7971 LiU-TEK-LIC-2008:1 Copyright c 2008 Johanna Wallén Printed by LiU-Tryck, Linköping, Sweden 2008 Till min familj Abstract Good models of industrial robots are necessary in a variety of applications, such as mechanical design, performance simulation, control, diagnosis, supervision and offline programming. This motivates the need for good modelling tools. In the first part of this thesis the forward kinematic modelling of serial industrial robots is studied. The first steps towards a toolbox are implemented in the MAPLE programming language. A series of possible applications for the toolbox can be mentioned. One example is to estimate the pose of the robot tool using an extended Kalman filter by means of extra sensors mounted on the robot.