Automatic Control (MDP-359)
Course Contents
Introduction to automatic control systems, Course objectives, Control system configurations, Terminology, Examples on control systems (process, servo, logic), Process dynamics and mathematical modelling of physical systems (analytical, experimental, Engineering techniques for system modelling), Determination of the system response solution of the DE, Laplace, Convolution Frequency response, Polar and nyquist plots, Bode diagram, Analysis of feedback control systems: Steady state errors, Stability analysis techniques, Closed loop system, Performance indices, Synthesis of feedback control systems: Synthesis criteria, Design of process control systems with P, PI, PD, PID, Controllers-tuning techniques, Design of servo control systems using different types of compensators, Industrial control systems: Sensors, Transmitters, Controllers, Final control elements for process control and servosystems, Valves, Introduction to non-linear control systems.
Automatic Control Lab Laboratory:
Introduction to automatic control systems, Course objectives, Control system configurations, Terminology, Examples on control systems (process, servo, logic), Process dynamics and mathematical modelling of physical systems (analytical, experimental, Engineering techniques for system modelling), Determination of the system response solution of the DE, Laplace, Convolution Frequency response, Polar and nyquist plots, Bode diagram, Analysis of feedback control systems: Steady state errors, Stability analysis techniques, Closed loop system, Performance indices, Synthesis of feedback control systems: Synthesis criteria, Design of process control systems with P, PI, PD, PID, Controllers-tuning techniques, Design of servo control systems using different types of compensators, Industrial control systems: Sensors, Transmitters, Controllers, Final control elements for process control and servosystems, Valves, Introduction to non-linear control systems.
Automatic Control Lab Laboratory:
- Demonstration and presentation of at least three control systems of different types, process control system, servo system, logic control system.
- Using hardwired, or digital, simulators to apply all concepts of stability analysis applied to different types of control systems.
- Experimental determination of the performance indices of a process control system and a servo mechanism.
- Testing and calibration of the P, PI, PD, PID, controller types applied To simulated controllers or industrial controllers.
- Tuning of industrial controllers in a process control system and tuning of compensator for a servo system.
- Studying the performance of some final control elements, e. g. motorized pneumatic valve; DC and AC servo motors.
- Studying the performance and the calibration techniques of some industrial transmitters and signal converter elements.
- Boris, J. and Paul, J., Classical Feedback Control, Marcel Dekker Inc., 2000.
- Dorf, R. and Bishor, R., Modern Control System, Prentice Hall, 2001.