Course Objectives

Learn basic systems theory for solving the most common process control problems. Acquire practical skills in implementing a compound control system involving a practical discrete-time PID controller, a measurement filter, and a control system simulator based on a mechanistic model and an estimated transfer function model of the physical process.

Course Description

The course consists of two parts: (1) Systems theory for dynamic systems. Feedback. Stability. PID-controller design and tuning. Discrete-time systems theory and controller design. Simple adaptive control (gain scheduling). Feed-forward control. Dead-time compensation. Cascade control. Introduction to multivariable control. Using Matlab and Simulink for analysis, design and simulation. (2) Implementation of a compound control system for a physical process, cf. the description given in Course Objectives, using a PC with LabVIEW-based software and I/O hardware. LabVIEW programming.

Learning Methods

Lectures. Group assignment.

Assessment Methods

The final grade is the average of the grades of Part 1 and Part 2.
Evaluation of Part 1: A final test counts 70% and an intermediate test counts 30%.
Evaluation of part 2: A mandatory project work in student groups counts 50% and an individual, final test counts 50%.
No study aids are permitted at det final test.

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