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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 Lundh: A new, fast, and efficient automatic tuner for the ABB Ability TM 800xA family of controllers

M.Sc by Lundh

Seminarium

From: 2021-06-11 11:00 to 11:45
Place: https://lu-se.zoom.us/j/8265013830.
Contact: kristian [dot] soltesz [at] control [dot] lth [dot] se
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Abstract:

The most common controller in the process industry today is the PID controller due to its simple structure. A regular factory may have thousands of different PID controllers in use where each of them has to be tuned to work satisfactory. Doing this manually can of course become both a difficult and time consuming task where some knowledge for each process is required. Therefore, it is highly beneficial of having a way to automatically tune the controllers which was the motivation behind the relay autotuner, first introduced in the 1980’s. Since then, many alterations of the original relay autotuner have been proposed as technology development concerning, both available computing power as well as regarding PID control, have progressed.

This master thesis is proposing a new autotuner based on a short asymmetrical relay experiment that is running at sufficiently low cost so that it can be executed directly in an ABB controller unit. This is highly beneficial for end customers who are to control a, for them, unknown process. An extensive simulation study is conducted using a test batch of a wide range of processes
representative for the process industry to ensure that the approach is appropriate. A suitable first order model with time delay (FOTD) is found from which a controller structure is based, following a set of well-known tuning rules. The method is then implemented in the ABB Ability TM System 800xA were the proposed method was shown to successfully control an unknown process in a robust way.


Student: Magnus Lundh
Advisors:
     Kristian Soltesz, Dept. of Automatic Control, LTH
     Alfred Theorin, ABB
Examiner: Tore Hägglund, Dept. of Automatic Control, LTH


The seminar will be held using Zoom at https://lu-se.zoom.us/j/8265013830.



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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.

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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.