Job Description
to be filled from
immediately
Your working environment
TRATON Research & Development (R&D) is undergoing a major transformation to establish a strong, global Group R&D organization. Our goal is to deliver a time-critical roadmap, deliver outstanding customer value, and drive innovation across our brands—Scania, MAN, INTERNATIONAL and Volkswagen Truck & Bus. This transformation will strengthen our competitiveness and position Group R&D as a key business partner within TRATON Group. We are now looking for you to be part of this exciting change journey, shaping the future of Group R&D.
At TRATON R&D, you are an important part of something bigger. Joining us means gaining access to the ins and outs of the entire transportation industry. As part of a global team of industry experts, you get to think bigger, experience more, and reach further. Being bigger also means being stronger. Together with our brands, we have the collective power to transform the transportation.
We see the individuality of our employees as a strength and welcome diverse applications from people with different backgrounds. If you need support during your application, please contact us.
Description
The control design of articulated vehicles is a challenging task due to the complex interplay of multiple sources of uncertainties. External disturbances like side winds or road conditions exert influence, while internal uncertainties in steering (actuator dynamics), state estimation, or the truck's loading affect trajectory tracking performance. This thesis focuses on implementing a robust MPC approach to control the lateral dynamics of articulated vehicles. The control performance is enhanced by adaptively estimating model uncertainties and adapting the MPC model.
You can look forward to these tasks
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Review literature on robust Model Predictive Control (RMPC) approaches with performance learning
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Design and implement an RMPC controller for lateral control using acados, and integrate it into an existing Simulink environment
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Implement a robust parameter estimation method (e.g. Gaussian Process Regression or Set-Membership Identification)
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Simulate and validate the implemented controller in MATLAB/Simulink
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Deploy and test the controller on our autonomous truck prototypes
We are looking forward to
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Enrolled as a Master's student in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field
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Excellent academic performance combined with practical experience from student projects (e.g. Formula Student, Robotics etc.)
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Knowledge in vehicle dynamics and modeling is a plus
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Fundamental knowledge in control theory, familiarity with Model Predictive Control (MPC) is preferred
- Programming experience in MATLAB/Simulink (knowledge in C or cmake is a plus)
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Independent, solution-oriented working style
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Proficient in both German and English, written and spoken
Getting Started
Before starting the thesis, we highly recommend a 2-3 month internship to get familiar with the tools, models, and project context. This ensures a smooth transition into the research work and gives you early hands-on experience with the relevant systems.
Has TRATON piqued your interest? We look forward to receiving your detailed application!
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