The aim of the course is to give to the students an introduction to the techniques employed in industry for the design of a control system, with a particular reference to process and mechanical systems.
Design methodologies for industrial control systems.
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.
- M. Veronesi, "Regolazione PID", FrancoAngeli, 2011.
- G. Magnani. G. Ferretti, P. Rocco, "Tecnologie dei sistemi di controllo", McGraw-Hill Italia, 2007.
- K. J. Astrom, T. Hagglund, "Advanced PID Control", ISA Press, 2006.
- D. E. Seborg, T. F. Edgar, D. A. Mellichamp, "Process Dynamics and Control", Wiley, 2004.
The explanation of the topic is made through the use of slides available to the students. Students have also to perform computer exercises.
Each candidate must pass an oral examination.
The official language of the course is English.