PROCESS MODELING AND CONTROL

Know-how and methods for modeling and implementation of control systems

Lectures and laboratories.

Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.

Learning assessment may also be carried out on line, should the conditions require it.

Models of systems and controllers: Input/output equation and input/state/output equation.
Identification methods: ARX, ARMAX, NARMAX, black box identification.
Technological architecture of control systems.
Sensor and actuators for process control. Analog to digital and digital to analog conversion, multiplexer e demultiplexer.
Object oriented programming applications.Single-board computer.
Multivariable control and hardware in the loop control via DSPACE.
Matlab/Simulink for design, simulation and control.

System Identification: Theory for the User (second Edition) Lennart Ljung, Prentice Hall, Upper Saddle River, N.J., 1999

Strumenti e metodi di Misura, Ernest O. Doebelin McGraw-Hill Companies.

Thinking in Java, B. Eckel, Prentice Hall.