System and process control

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Instrumentation and Control Engineering

Synopsis:

The subject focuses on design and implementation of control methods for systems and processes. Emphasis is laid on the advanced methods for synthesis of PID, state feedback and dynamic controllers in the time, spectral and frequency domains. Students are also acquainted with the implementation aspects of controllers, concepts of their robust design and methods to deal with transportation delay in the processes. In practical tutorials, students learn to apply control design tools of Matlab for the advanced control design. The course also involves four laboratory classes, where students implement theoretically designed controllers on laboratory systems and processes.

Requirements:

Syllabus of lectures:

Introduction to control design, terminology, basic strategies of feedback control, examples of industrial system control applications

PID controllers, analysis of the controller parts, ideal and end-point algorithms, actuator saturation, integration antiwindup

Frequency domain requirements and analysis, closed loop stability, gain and phase margin, impact of open loop transfer function zeros

PID controller design by shaping the frequency characteristics towards set-point following and disturbance rejection, two degree of freedom controllers

Introduction to robust control design, H-infinity norm and sensitivity function definition

Practical aspects of robust H-infinity controller design via mixed sensitivity functions

Spectral analysis of control systems, root-locus method

Controllability, state feedback controller design

Observability, state observer and its use for control and system diagnosis

Advanced control schemes, master-slave, combination of feedforward and feedback paths

Autonomous control of multiple input, multiple output systems

Control of processes with transportation delay, spectral and frequency properties

Time delay compensation schemes, internal model control, Smith predictor.

Syllabus of tutorials:

Study Objective:

Study materials:

S. Skogestad and I. Postlethwaite, Multivariable feedback control - Analysis and design, 2005, 2nd Edition, Wiley

Ogata K.: Modern Control Engineering. Prentice Hall, Boston, 2010

Nise, Norman S. Control systems engineering. John Wiley & Sons, 2007

Elektronické podklady pro přednášky a cvičení na moodle.fs.cvut.cz

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: