Control systems have created the world's most advanced distribution automation suite, including designing, planning, management and automatic feeder restoration. This course ranges from revision of classical control, with particular attention to PID controllers, through to some recent developments in model-based multi-input multi-output control design. Topics include model identification, controller design, tuning and validation as well as model predictive control. Emphasis is given to important practical issues such as time delay systems and saturation actuators.
Throughout the course examples of successful applications of the theory to real industrial problems are demonstrated through case studies, the aim being to develop Participants insight and intuition in dealing with real control engineering problems. The key feature of the course is the hands-on sessions interspersed with the theory, where participants continually put into practice what is taught in lectures. These sessions are designed to address the issues of technical feasibility and economic justification of modern control in industry.
The main goal that the course aims to achieve is to provide practical knowledge and tools for design, analysis and implementation of both conventional and control strategies.
By the end of the course, participant will be able to:
Understand the basic concepts of the design of control systems using different techniques.
Apply knowledge of methods for system identification and control design to the application. Insight into the process of experimental performance analysis and controller re-design.
Analyze linear discrete-time systems.
Analyze and design digital control systems.