Review to principles of control engineering (continuous (analog) and discrete (digital)). System modeling (Mathematical modeling, linearization, state space). System representation (block diagrams, state-space, transfer functions). Control system analysis (time response, steady state error and sensitivity analysis). Control system stability analysis (classical methods and Lyapunov method). Control system improvement by classical PID controllers and compensators (lead, lag and lead-lag). Multivariable systems and the Controllability and Observability concepts. State space forms. Pole placement state controller and state observer estimator).The laboratory study will cover: The modeling of engineering systems in LabVIEW and Mat lab/Simulink to study control system design to improve dynamic performance.
