Description

Course Description – Control Systems II

This course provides students with advanced knowledge and practical skills in the analysis, modelling, and design of discrete-time control systems. It focuses on the principles and methods required for developing modern digital control solutions used in automation, robotics, and industrial engineering applications.

The course covers key topics including discrete-time system modelling, sampling and data conversion, z-transformation methods, digital representations of continuous systems, stability analysis of discrete control systems, time-domain and frequency-domain analysis, root locus methods, Bode and Nyquist diagrams, steady-state accuracy, and performance evaluation. Students also study controller design techniques, including PID controllers, phase compensation methods, dead-beat control, polynomial synthesis, state-space modelling, pole placement, and observer-based control systems. The course includes the use of computer-based tools for simulation, analysis, and synthesis of digital control systems.

Upon successful completion of the course, students will be able to analyse and design discrete control systems of moderate complexity, apply appropriate mathematical and computational methods for controller development, evaluate system stability and performance, implement digital control solutions, and use professional software tools for the modelling and optimization of modern control systems.

Learning Outcomes

On completion of this course the student will be able to • demonstrate knowledge and understanding of discrete control systems, • analyse, design and implement control systems of middle complexity with use of contemporary design methods, • use the appropriate techniques and tools for discrete control systems design. • evaluate the applicability of design methods.