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Distributed Model Predictive Control for large-scale processes.
Background
Tata Steel IJmuiden manufactures high-quality steel strip using numerous successive production plants. The type of installations range from ironmaking, steelmaking and casting to hot rolling, coating, and annealing. These processes are made possible using advanced control techniques such as Model Predictive Control. To further improve the quality of our products and stability of our processes we want to take the next step in advanced process control: distributed model predictive control.
You will work in the Thermal Processes knowledge group in Research and Development alongside twenty researchers from various backgrounds.
What are you going to create?
You will create a proof of concept distributed model predictive (DMPC) controller to optimize the allocation of works arising gasses. The performance of DMPC should be quantitatively compared to regular MPC using monte carlo simulations, assisted where necessary by using historical plant data. You should be able to make (simplified) state-space models of some key processes, be able to implement your own DMPC algorithm, and perform data analysis quantifying performance of the controller compared to a benchmark.
The project will be conducted within R&D department of Tata Steel Ijmuiden with great opportunities for networking and being closely involved in the future developments. We are looking forward to welcoming you in our office where we maintain an energetic, informal working atmosphere. You will get the equipment needed for your work.
Tata Steel produceert, bewerkt en distribueert hoogwaardig staal voor producten die het leven vergemakkelijken. Onze missie: bouwen van het toonaangevende Europese staalbedrijf dat duurzaam is in alle opzichten. Wij willen voorop lopen in wat we doen en werken daarbij actief samen met onze klanten, leveranciers en researchinstituten. We bieden behalve goede arbeidsvoorwaarden een technische productie-omgeving in een menselijke en sociale cultuur.
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