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Introduction to Control Systems In this lecture, we lead you through a study of the basics of control system After completing the chapter, you should be able to Describe a general process for designing a control system Understand the purpose of control engineering Examine examples of control systems
Control Engineering: Control engineering or Control systems engineering is based on the foundations of feedback theory and linear system analysis, and it integrates the concepts of network theory and communication theory It is the engineering discipline that applies control theory to design systems with predictable behaviors
plant since a control oscillation remains of amplitude b and cycle time T, upon which the values Tu, Tg and Ks depend Fig 7 Control result of an alarm signalling unit without time response It can easily be seen that the control oscillation diminishes as the F = d) Fundamentals of Control Engineering Data Sheet 60-0 15 EN
control system is to identify what can be automated It will help if you have an understanding of basic hydraulics, pneumatics, mechanical operating mechanisms, electronics, control sequences, etc and a solid knowledge of the operation or process that you are going to automate You should understand how to control motion and movement, regulate
Control theory is a relatively new field in engineering when compared with core topics, such as statics, dynamics, thermodynamics, etc Early examples of control systems were developed actually before the science was fully understood For example the fly?ball governor developed by James Watt to control
digital control systems] Kuo B C (1987) Automatic control systems, 720pp Prentice-Hall, Englewood Cliffs [This is a widely used textbook that presents essential principles and design of feedback control systems] Ogata K (1990) Modern Control Engineering, 963pp Prentice-Hall, Englewood Cliffs [A standard