Mattias Hovgard, Electrical Engineering

​Title: Energy optimization of industrial robot stations

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The seminar can be accessed through Zoom and will open shortly before 14.15. We would kindly ask you to keep the video off and mute the microphone during the seminar. At the end of the session there will be an opportunity to ask questions through Zoom. In case there will be any updates about the event, these will be posted on this website.

Mattias Hovgard is a PhD student in the research group of Automation
Examiner is Professor Bengt Lennartson

Abstract
Energy optimization of industrial robots are important to lower energy costs and to reduce the emissions of greenhouse gases. This is most easily achieved by modifying the motion parameters of the robot movements, such as reducing the velocity and acceleration. To be practically feasible this must be done without affecting the productivity of the station. This becomes more challenging if, which is often the case for real stations, there are uncertainties in the station. In this seminar the issue of the trade-off between energy reduction and productivity is considered and solution methods to two types of problems are presented. The first problem considers energy optimization of a real welding station from an automotive assembly line. The second problem considers energy optimization of robot stations with uncertain execution times. The result shows reduced energy use, peak power, and jerk

Category Seminar
Location: online
Starts: 22 October, 2020, 14:15
Ends: 22 October, 2020, 15:45

Published: Tue 13 Oct 2020.