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) Theoretical part: 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 for analysis, design and simulation. (2) Project part: LabVIEW programming. Implementation of a compound control system in LabVIEW for a physical process, including 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, using a PC with LabVIEW-based software and I/O hardware.

Learning Methods

Lectures. Group assignment.

Assessment Methods

The final grade is the average of the grades of Part 1 (theoretical part) and Part 2 (project part). Evaluation of Part 1: A final test counts 35% and an intermediate test counts 15%. Evaluation of Part 2: A mandatory project work in student groups counts 30% and an individual, final test counts 20%. To obtain a passed grade it is necessary to pass Part 1, and to pass both the project and the individual test of Part 2.

Homepage of SCE1106 Control with Implementation (also available in ClassFronter)

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