Introduction to industrial control
Introduction. Sensors and actuators. Control requirements.
PID controllers
Basic PID control law. The three actions. Ideal, series and parallel forms. Filtering of the derivative action. Set-point weight. Antiwindup strategies. Manual/automatic switching. Digital implementation. Tuning methods. Automatic tuning techniques. Performance assessment. CACSD tools.
Control structures
On-off control. Time-proportional control. Servo valve control. Split range control. Override. Feedforward control. Cascade control. Ratio control. Smith predictor and other dead time compensator schemes. Internal Model Control. Multivariable control (relative gain array, decoupling). Adaptive control.
Introduction to Model Predictive Control
Introduction. Modelling of the process. Objective function to minimize. Reference trajectory design. Examples.
Introduction to fuzzy control
Introduction to fuzzy logic. Design of fuzzy controllers. Comparison with classic controllers. Fuzzy supervisors. Examples of application.
Introduction to industrial automation
Supervision. Programmable Logic Controllers. Distributed Control Systems. SCADA systems.
