Control Engineering is applied across all areas of engineering to develop safe and sustainable solutions. This module provides a solid theoretical foundation for understanding feedback control system analysis and design in both the time and frequency domains.
Introduction: terminology, concept of control, closed loop vs. open loop systems
Dynamic models of mechanical, electrical and process systems
Block diagram representation
Standard time-domain test inputs
impulse, step, ramp;
Laplace transforms, transfer functions, poles and zeros, characteristic equation
First and 2nd order systems; transient, rise/settling time, overshoot/damping ratio, time delay
Stability: Routh-Hurwitz Criterion
System type, steady-state error, error constants, Final Value Theorem
Root Locus Techniques
Nyquist stability criterion
Gain & phase margins; Bode diagrams, Time delays
PID controller and tuning methods
Sensitivity, disturbance rejection
State space modelling, Multivariable systems
Computer control, PLCs
Control system simulation using Matlab and Simulink
Control Engineering applications and context will be explored at every opportunity
Dorf, R. C., & Bishop, R. H. (2011). Modern control systems (12th ed.). Prentice Hall, Pearson.
Franklin, G. F., Powell, J. D., & Emami-Naeini, A. (2015). Feedback Control of Dynamic Systems. Global Edition.
Kuo, B. C., & Golnaraghi, F. (2003). Automatic Control Systems (8th ed.). Prentice-Hall
Nise, N. S. (2011). Control systems engineering (6th ed.). Wiley.
Ogata, K. (2002). Modern control engineering (4th ed.). London: Prentice-Hall International.