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Automatic Control

Faculty of Engineering, LTH

Automatic Control

LTH best Master's thesis

Johanna Wilroth has been awarded the prize "LTHs Jubileumsstipendium 2020" for the best master thesis at LTH. In her thesis "Domain Adaptation for Attention Steering," Wilroth studied novel algorithms for improving the performance of hearing aids using EEG signals in combination with auditory input. The master thesis was done at the Department of Automatic Control, with Carolina Bergeling as main supervisor, in collaboration with the research center Eriksholm/Oticon in Denmark. The collaboration also involved the departments of Psychology and Mathematical Statistics at Lund University.

 

M.Sc by Carrion: Digitalization and optimization of a production flow

M.Sc by Sergio Mora Carrion

Seminarium

From: 2021-06-21 11:00 to 11:45
Place: https://lu-se.zoom.us/j/62522860729?pwd=MUlLV3VvcWdOcTlXZXkrTVJub1ZjQT09
Contact: anders [dot] robertsson [at] control [dot] lth [dot] se
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Abstract:

Digital twins are a very essential tool widely used by manufacturing companies nowadays. The scope of this project is to build a digital model of a real production flow present in SWEP’s factory in Landskrona. Each module is constructed with real cycle times, OEE figures, velocities and changeover times corresponding to the heat exchangers that are processed. To obtain a realistic behavior, real production orders are the input for the digital model. Moreover, the simulation can calculate different production parameters such as capacity, throughput times and buffer sizes, among others. This digital model is also used to optimize the performance of the manufacturing process by changing the sequence of the processed jobs.


Student:

Sergio Mora Carrion

Advisors:

Anders Robertsson, Dept. of Automatic Control, LTH

Lennie Liegnell, SWEP

Examiner:

Charlotta Johnsson, Dept. of Automatic Control, LTH


The seminar will be held in LU Zoom meeting:
    https://lu-se.zoom.us/j/62522860729?pwd=MUlLV3VvcWdOcTlXZXkrTVJub1ZjQT09



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Welcome to KC4!

In 2020, we moved to temporary offices at KC4 in Kemicentrum. Here we will stay until 2023 while the M-building is being renovated. See "contact" (in About) for the new visiting adress.

Formula Student

The department has a collaboration with the Lund Formula Student team, who are developing a fully autonomous race car to compete in Formula Student events all across Europe. They are always looking for interested and talented team members. If you are interested in a wide variety of technologies such as neural networks, control theory, ROS, etc, please visit their website or contact them at: technical.driverless@lundformulastudent.se.