Course Objectives

Students will gain basic knowledge of practical automation engineering and skills in the use of automation equipment.

Course Description

Automation: Feedback control using PID controller (aims, use, structure, mathematical function, parameter setting). Industrial control structures (cascade control, feed forward control, proportional control, stabilisation of plant operation). Orientation regarding Model-based Predictive Control (MPC). Automation equipment .

System theory: Mathematical modelling with differential equation models (including state space models) and transfer function models. Response calculation with Laplace transformation. Simulation of dynamic systems and control systems.

Tools: PC with LabVIEW and I/O-equipment. Industrial process controller.

Learning Methods

Lectures. Self-study. Calculations. PC exercises. Project assignments in the form of lab and simulation assignments which will be carried out in groups and/or individually.

Assessment Methods

Individual written final examination counts for 70% of the final grade. Project assignments count 30%. Both the written examination and each of the project assignments must receive passing marks in order to receive a higher grade than F.

Minor adjustments may occur during the academic year, subject to the decision of the Dean