Automatic Control is the art of making procedures and machines run and work automatically. This course object to give the student knowledge about Linear feedback control theory, Modelling of physical systems using mathematics Time-domain analysis of control systems, transfer functions, block diagrams, and signal flow graph Time-domain design, PID controllers, and phase-lead and phase-lag controllers, frequency domain analysis, Nyquist criterion, Bode plots, and Nichols charts, test signals, transient response, time domain specifications, steady-state error and stability, Root locus techniques.
• Differ between open and close loop control systems • Transfer control system into a mathematical model using transfer functions • Use the Block diagrams in analysis and design control systems • Perform time-domain analysis for 1st and 2nd order system • Learn Routh Hurwitz Stability Criterion and how to estimate Steady-State Error • Use Root Locus Technique to find the roots of the characteristic equation of a control system • Perform frequency domain analysis control systems • Determine the stability of a closed-loop system using the Nyquist stability criterion • Design a control system using lead and lag compensators • Be familiar with the PID controller’s concepts • Be familiar with Nyquist criterion, Bode plots and Nichols charts • Conduct a project to design a theoretical control system
