Master Thesis "Mixed-Integer Optimization for Model Predictive Control Algorithms"
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19 hours ago
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1 Vacancy
Job Summary
As Austrias largest research and technology organisation for applied research we are dedicated to make substantial contributions to solving the major challenges of our time climate change and digitisation. To achieve our goals we rely on our specific research development and technology competencies which are the basis of our commitment to excellence in all areas. With our open culture of innovation and our motivated international teams we are working to position AIT as Austrias leading research institution at the highest international level and to make a positive contribution to the economy and society.
Our research unit Complex Dynamical Systems at the Center for Vision Automation & Control invites applications for a master thesis. We focus our research on modelling simulation analysis and optimization as well as on the control of complex and dynamical industrial systems and processes. The primary goal is to enhance product quality increase flexibility and boost resource efficiency. Applications are found in the fields of mechatronics robotics and industrial production facilities.
Master Thesis Mixed-Integer Optimization for Model Predictive Control Algorithms
CENTER FOR VISION AUTOMATION & CONTROL
- Literature review: A comprehensive review of known solution methods and available solvers for such problems shall be conducted.
Solution algorithms: Incorporating an existing state-space model of the considered processing line an optimal control problem involving continuous and discrete control inputs shall be defined and an algorithm for its solution shall be chosen or developed. Based on reasonable performance metrics the algorithm is to be evaluated.
- Use-case: The solution algorithm considered is to be practically tested. The test should involve closed-loop simulations of an MPC tracking control strategy for the strip temperature. The implementation may be realized using Matlab.
- You will be trained in scientific work and you will have the opportunity to discuss your experiences with scientific interdisciplinary experts from the fields of mathematics informatics physics and control and mechanical engineering.
In many industrial applications and control systems decisions containing both continuous and nonlinear decision variables have to be made. This means that mixed-integer optimization problems must be solved. This work considers a processing line for continuous heat treatment of steel strips that operates in two modes: heating and cooling.
Specifically this work aims at formulating an optimal control problem for strip temperature tracking in the considered processing line and at developing implementing and assessing a numerical solution method. An efficient real-time-capable solution of this problem form the basis for the successful implementation of a model predictive strip temperature control (MPC).
Your qualifications as an Ingenious Partner:
- Ongoing masters studies in the field of automation & control technical mathematics technical Informatics or a comparable technical field.
- Excellent knowledge in the field of optimization
- Excellent knowledge of Matlab (and Python).
- Excellent technical understanding & analytical capabilities
- Enjoyment of application-oriented questions of industry
- High level of commitment and team spirit
- Good knowledge of German and/or English in word and writing.
What to expect:
- Duration of the masters thesis project: about 6 months
- EUR 603-- gross per month for 12 hours/week based on the collective agreement. There will be additional company benefits. As a research institution we are familiar with the supervision and execution of master theses and we are looking forward to supporting you accordingly!
At AIT diversity and inclusion are of great importance. This is why we strive to inspire women to join our teams in the field of technology. We welcome applications from women who will be given preference in case of equal qualifications after taking into account all relevant facts and circumstances of all applications.
Please submit your application documents including your CV cover letter relevant certificates (transcript of records) online:
Key Skills
- Python
- C/C++
- Fortran
- R
- Data Mining
- Matlab
- Data Modeling
- Laboratory Techniques
- MongoDB
- SAS
- Systems Analysis
- Dancing
About Company
Die Pädagogische Hochschule Wien ist ein Zentrum der professionsorientierten Aus-, Fort- und Weiterbildung von Lehrpersonen sowie weiteren pädagogischen Berufsgruppen.
