Control Systems

Description:

The program aims at providing the participants with a fundamental knowledge and better understanding of control systems technology. 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.

Case studies are presented to enhance the ability of the participants to deal with practical problems in the fields of implementation.

Goal:

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.

Objectives:

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. 

Outlines:

  • Introduction: The Excitement of Control Engineering.
  • Definition of Modelling and Control Problems
  • Control System Development
  • Model Based Feedback Control.
  • Experimental Methods and Design Approaches
  • Cascade Control System.
  • Advantage of Feedback and Feed Forward?
  • Intro. to Multivariable Control and MPC
  • Introduction to Digital Control Systems
  • Basic Components Structure Of DCS
  • DCS Architecture Simplified Design
  • SCADA Systems Benefits and Architecture
  • PLC Definition and Advantages
  • Introduction to Fluid Power Systems, Pressure Losses in Hydrostatic Systems, Analysis of Compressible Systems, Design and Analysis of Fluid Power Systems