Portale di Ateneo - En.Unibs.it

Other Courses of the Study Programme

Course year: 1

APPLIED ECONOMICS IN ENGINEERING - 6 credits - Related/Supplementary
CONTROL SYSTEMS TECHNOLOGIES - 9 credits - Student's own choice
INDUSTRIAL PLANTS - 9 credits - Related/Supplementary
MICROPROCESSOR BASED INSTRUMENTATION - 9 credits - Related/Supplementary
ROBOTICS AND CONTROL SYSTEMS
Attendance grouping
18 credits - Raggruppamento di frequenza
ROBOTICS AND MEASURES
Attendance grouping
12 credits - Raggruppamento di frequenza
SCIENTIFIC COMPUTING AND LABORATORY - 6 credits - Related/Supplementary
SERVO SYSTEMS AND ROBOTICS - 9 credits - Student's own choice
SERVO SYSTEMS AND ROBOTICS - 9 credits - Student's own choice

Course year: 2

3D VISION SYSTEMS - 6 credits - Student's own choice
ADAPTIVE CONTROL SYSTEMS - 6 credits - Student's own choice
BIOMECHANICS - 6 credits - Student's own choice
ELEMENTS OF BIOMECHANICS - 3 credits - Student's own choice
ERGONOMICS AND SAFETY - 6 credits - Student's own choice
FINAL THESIS - 12 credits - Language/Final Examination
FLUID MACHINERY AND ENERGY CONVERSION SYSTEMS - 6 credits - Student's own choice
HUMAN COMPUTER INTERACTION - 6 credits - Student's own choice
INDUSTRIAL AND SERVICE ROBOTS - 6 credits - Student's own choice
INDUSTRIAL ELECTRONICS - 6 credits - Related/Supplementary
INTELLECTUAL PROPERTY - 6 credits - Student's own choice
INTRODUCTION TO CYBER SCURITY AND BIG DATA - 6 credits - Related/Supplementary
MECHANISM DESIGN LABORATORY - 3 credits - Student's own choice
MECHATRONICS LABORATORY
Attendance grouping
12 credits - Raggruppamento di frequenza
MODELLING AND SIMULATION OF DYNAMIC SYSTEMS - 6 credits - Characterising
OPTIMIZATION ALGORITHMS - 6 credits - Student's own choice
ROBOTIC CELLS AND AUTOMATION SYSTEMS - 9 credits - Characterising
ROBOTICS - 9 credits - Student's own choice
SENSORS FOR AUTOMATION - 6 credits - Related/Supplementary
TRAINING ACTIVITY/INTERNSHIP 3 CREDITS - MASTER LEVEL - 3 credits - Student's own choice
TRAINING ACTIVITY/INTERNSHIP 6 CREDITS - MASTER LEVEL - 6 credits - Student's own choice
TRAINING ACTIVITY/INTERNSHIP 9 CREDITS - MASTER LEVEL - 9 credits - Student's own choice

CONTROL SYSTEMS TECHNOLOGIES

Single discipline educational activity

Course Sheet

Academic Year of enrolment:

2019/2020

Academic Year of provision:

2019/2020

Type of Course:

Student's own choice

Degree:

Master's Degree Programme in INDUSTRIAL AUTOMATION ENGINEERING

Disciplinary Sector:

Automatics

Language:

English

Grouping type:

Credits:

Programme Year:

Cycle:

Second semester

Hours of classroom activity:

Hours of individual study:

135

Fundamentals of Automatic Control, Digital Control

Borrowed from

The teaching activity currently displayed is borrowed from the teaching activities listed below.
Click on here to view professor information, educational goals, etc.

CONTROL SYSTEMS TECHNOLOGIES

INDUSTRIAL AUTOMATION ENGINEERING

Educational Goals

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.

Content

Design methodologies for industrial control systems.

Extended Syllabus

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.

Recommended Bibliography

- 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.

Methods of Provision

Conventional

Teaching Methods

The explanation of the topic is made through the use of slides available to the students. Students have also to perform computer exercises.

Assessment Methods

Each candidate must pass an oral examination.

Assessment:

Final Mark

Programme of Educational Activities

Start date of teaching period:

Monday, February 17, 2020

End date of teaching period: