Control Engineering Lab

Industrial applications of intelligent methods covering a large area from paper and metallurgical industries to biotechnology and also electronics production and telecommunications. Applications consist of soft sensors, advanced control and diagnostics (lime kiln, pulp cooking, bleaching, TMP-refiner, paper machine, blast furnace, converter plant, continuous casting, solar power plant, wastewater processes, bioprocesses, fluidized bed granulator), electronics production (testing, diagnostics, process analysis and simulation), rotary drying (pilot-scale process, measurements, and control test bench, distributed simulation over the web)

DESCRIPTION

Control Engineering Laboratory helps the graduates in learning the basics of control and instrumentation, modeling, simulation, and optimization, intelligent methods, applications in paper, metallurgical and biotechnical processes. For research students, intelligent methods (fuzzy logic, neural networks, genetic algorithms, expert systems) are the main area.