Master Thesis Robust Volumetric Flow Control Using Sensor Fusion
Core
Develop a sensor fusion approach and advanced control algorithms to improve volumetric flow estimation and control in high-speed liquid separators, aiming to increase separation efficiency and operational reliability.
Role type
Master Thesis Researcher (Control Systems & Sensor Fusion)
Builds
Improved volumetric flow estimation models and control logic deployed on Siemens PLCs for industrial separators.
Domain
Industrial automation, process control, fluid dynamics, sensor fusion.
Deliverable
production ML models
Required skills
Sensor fusion, Kalman filters, PID control, MATLAB/Simulink, Stateflow, PLC programming (Siemens), numerical modeling, simulation.
Preferred skills
Experience with subscale hardware testing, automatic code generation, literature review of advanced control algorithms.
Technologies
MATLAB, Simulink, Stateflow, Siemens PLC, Kalman filters.
Responsibilities
Research current hardware/software implementation, conduct literature review, design and develop new control algorithms, test in simulation, generate code for PLC deployment.
Seniority
Master Thesis Candidate
