CONTENT OF THE COURSE / MODULE
Automatic process control systems and industrial plants. Organization and components of modern control systems. Distributed process control systems. Continuous and batch process control. Process control case studies from the process industry.
Automatic data collection and processing. Statistical process control. Process monitoring and diagnostics. Optimization of control loop. System identification methods. Virtual instrumentation. Intelligent transducers and sensors. Software sensors.
Automatic control of complex processes and plants. Structure of nonlinear control systems. Adaptive control of nonlinear processes. Predictive control based on a process model. Application of artificial intelligence methods in process control.
Process control system design. Case studies of practical implementation of process control strategy. Industrial case study analysis.
Industry 4.0 and new guidelines emerging in process control.
DESCRIPTION OF TEACHING METHODS
Lectures / consultations, seminars, industrial case studies, software simulations
STUDENT OBLIGATIONS
Seminar paper, oral exam
LEARNING OUTCOMES AT COURSE LEVEL
Identify process parameters and dynamic characteristics for optimal control.
Design and integrate an automatic process control system on laboratory, pilot plant, semi-industrial and industrial scale.
Develop and implement a predictive process control strategy.
Design and develop intelligent measurement, software sensors and virtual instrumentation for application in modern control systems.
Apply artificial intelligence methods for advanced process control strategies.
Examine and critically evaluate the process control system and its components performance.
LEARNING OUTCOMES AT PROGRAM LEVEL
Systematize knowledge skills and competencies for scientific field of interest.
Evaluate the skills and methods of experimental and theoretical research related to the particular scientific field.
LITERATURE
Seborg, D. E., Mellichamp, D. A. Edgar, T. F., Doyle, F.Y. Process Dynamics and Control, Willey, 3rd edition, 2010
Marlin, T. E. Process Control, Design Processes and Control System for Dynamic Performance, McGraw-Hill, 2nd edition, 2015
Ogunnaike, B. A., Ray, W. H. Process Dynamics, Modeling, and Control, Topics in Chemical Engineering, Oxford University Press, 1994
Ren, J., Shen, W.; Man, Y; Dong, L. Applications of Artificial Intelligence in Process Systems Engineering, 1st edition, Elsevier, 2021
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