Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-11101
Authors: Fehr, Jörg
Schmid, Patrick
Schneider, Georg
Eberhard, Peter
Title: Modeling, simulation, and vision-/MPC-based control of a PowerCube serial robot
Issue Date: 2020
metadata.ubs.publikation.typ: Zeitschriftenartikel
metadata.ubs.publikation.seiten: 26
metadata.ubs.publikation.source: Applied sciences 10 (2020), No. 7270
URI: http://elib.uni-stuttgart.de/handle/11682/11118
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-111185
http://dx.doi.org/10.18419/opus-11101
ISSN: 2076-3417
Abstract: A model predictive control (MPC) scheme for a Schunk PowerCube robot is derived in a structured step-by-step procedure. Neweul-M² provides the necessary nonlinear model in symbolical and numerical form. To handle the heavy online computational burden concerning the derived nonlinear model, a linear time-varying MPC scheme is developed based on linearizing the nonlinear system concerning the desired trajectory and the a priori known corresponding feed-forward controller. Camera-based systems allow sensing of the robot on the one hand and monitoring the environments on the other hand. Therefore, a vision-based MPC is realized to show the effects of vision-based control feedback on control performance. A semi-automatic trajectory planning is used to perform two meaningful experimental studies in which the advantages and restrictions of the proposed (vision-based) linear time-varying MPC scheme are pointed out. Everything is implemented on a slim, low-cost control system with a standard laptop PC.
Appears in Collections:07 Fakultät Konstruktions-, Produktions- und Fahrzeugtechnik

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