525311: Automatic Control Systems

1. 525311: Automatic Control Systems School of Mechanical Engineering

2. Prescribed text :Norman S.Nise, Control Systems Engineering: Fifth Edition, John Wiley & Sons, 2007 Recommended reading : • รศ.นท.ดร.สราวุฒิ สุจิตจร, การควบคุมอัตโนมัติ , ซีเอ็ด พ.ศ.2546 • Richard C. DORF and Robert H. BISHOP, Modern Control Systems, Ninth Edition, Prentice Hall,2001 • W.Bolton, Control Engineering: Longman, 1998 • Katsushiko OCATA, Modern Control Engineering, Fifth Edition, Pearson, 2010

3. Control System Designs • Basic Control System Concepts • Transfer Functions of Physical Systems • State Equations for Physical Systems • Transient Response, Stability • Forced Response Errors • Design Using Sinusoidal Tools • Design Using State Equations

4. Basic Control System Concepts

5. History of Control System • 1728 – Jame Watt Flyball governor

6. History of Control System • 1769 – Jame Watt • 1868 – James Clark Mexwell • 1877 – Routh’s Stability Criterion • 1890 - Liapunov M.A. • 1932 – H.Nyquist • 1934 – H.W.Bode • 1947 – Nichols chart • 1948 – W.R.Evans • 1954 – George Devol

7. History of Control System • 1956 – 1969 Optimal control, Dynamicprogram, Optimization system, Fuzzy logic • 1970 – 1979 State space model, Adaptive control • 1980 – 1989 Robustness control, AI • 1990 – 1999 Robot development and application

8. Introduction to Control System Design Process to be controlled

9. Introduction to Control System Design • Mathematical Model of Systems • Relationship between input and output • Test inputs

10. Control System Designs • Open-loop Control Actuating device / actuator

11. Control System • Open-loop Control

12. Control System • Closed-loop Controlor Feedback Control

13. Control System Closed-loop Control(Feedback Control)

14. Closed-loop Control • Comparison Element • Control Element • Correction Element • Process Element • Measure Element

15. Control System • SISO (Single Input Single Output) • Multivariable Control System

16. Multivariable Control System

17. Control Engineering • Analysis • Stability • Dynamic Response and Performance Indices  Speed  Accuracy Tolerance • Design

18. Engineering Design • Specification • Complexity of Design • Trade-Off • Design Gabs • Risk • Optimize the parameters

19. Examples of control systems Turntable speed control (Open-loop control)

20. Examples of control systems Turntable speed control (Closed-loop control)

21. Examples of control systems

22. ระบบควบคุมการเปิดน้ำเข้าสู่ถังแบบปิดระบบควบคุมการเปิดน้ำเข้าสู่ถังแบบปิด

23. Examples of control systems Speed Control System

24. Examples of control systems Temperature control system

25. Examples of control systems A three-axis control system

26. Examples of control systems Water-level float regulator

27. Examples of control systems Hydraulic actuator with valve

28. HDD

29. Examples of control systems Coordinated control system for a boiler-generator

30. ADVANTAGES OF CONTROL SYSTEMS • Power amplification • Remote control • Convenience of input form • Compensation for disturbances

31. ADVANTAGES OF CONTROL SYSTEMS • For example, a radar antenna, positioned by the low-power rotation of a knob at the input, requires a large amount of power for its output rotation. A control system can produce the needed power amplification, or power gain. • Robots designed by control system principles can compensate for human disabilities. Control systems are also useful in remote or dangerous locations. A robot arm designed to work in contaminated environments. • Control systems can also be used to provide convenience by changing the form of the input. For example, in a temperature control system the input is a position on a thermostat. The output is heat. Thus, a convenient position input yields a desired thermal output.

32. ADVANTAGES OF CONTROL SYSTEMS • The system must be able to yield the correct output even with a disturbance. For example, consider an antenna system that points in a commanded direction. If wind forces the antenna from its commanded position, or if noise enters internally, the system must be able to detect the disturbance and correct the antenna’s position.

33. Antenna Azimuth: An Introduction to Position Control Systems

34. THE DESIGN PROCESS STEP 1: TRANSFORM REQUIREMENTS INTO A PHYSICAL SYSTEM STEP 2: DRAW A FUNCTIONAL BLOCK DIAGRAM STEP 3: CREATE A SCHEMATIC STEP 4: DEVELOP A MATHEMATICAL MODEL (BLOCK DIAGRAM) STEP 5: REDUCE THE BLOCK DIAGRAM STEP 6: ANALYZE AND DESIGN

35. THE DESIGN PROCESS

36. THE CONTROL SYSTEMS ENGINEER Control systems engineering is an exciting field in which to apply your engineering talents, because it cuts across numerous disciplines and numerous functions within those disciplines. The control engineer can be found at the top level of large projects, engaged at the conceptual phase in determining or implementing overall system requirements. These requirements include total system performance specifications, subsystem functions, and the interconnection of these functions, including interface requirements, hardware and software design, and test plans and procedures.