AUTOMATIC CONTROL
cod. 1010690

Academic year 2024/25
1° year of course - Second semester
Professor
Nicola MIMMO
Academic discipline
Automatica (ING-INF/04)
Field
A scelta dello studente
Type of training activity
Related/supplementary
60 hours
of face-to-face activities
6 credits
hub: UNIBO
course unit
in ENGLISH

Learning objectives

This course aims at providing the good practices for designing control systems based on linearisation

Prerequisites

- - -

Course unit content

PART 1 - System Theory
State Space Representation, Stability, Reachability, Observability, Kalman Decomposition, Optimal Control, Optimal State Observer
PART 2 – Applications
Longitudinal Controls: Anti-Lock Braking System (ABS), Traction Control System (TCS), Adaptive Cruise Control (ACC)
Vertical Controls: Active Suspension Systems (ASS)
Lateral Controls: Electronic Stability Control (ESC)
State Estimation

Full programme

- - -

Bibliography

PART 1
[1] P. J. Antsaklis, A. N. Michel, "Linear Systems" - Birkhauser (2006) - - ISBN 978-0-8176-4434-5
[2] Frank L. Lewis, Draguna L. Vrabie, Vassilis L. Syrmos, "Optimal Control", Third Edition (2012) - Print ISBN:9780470633496 Online ISBN:9781118122631 DOI:10.1002/9781118122631
[3] D. Simon, “Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches” – Wiley (2006)
[4] Weintraub, "Jordan Canonical Form. Theory and Practice" - Morgan & Claypool (2009)
PART 2
[5] U. Kiencke, L. Nielsen. “Automotive Control Systems: For Engine, Driveline and Vehicle” - Second Edition – Springer (2005) - ISBN 978-3-642-06211-7
[6] R. Rajamani. “Vehicle Dynamics and Control” – Springer (2012) - ISBN 978-1-4899-8546-0
[7] W. Chen, H. Xiao, Q. Wang, L. Zhao, M. Zhu. “Integrated Vehicle Dynamics and Control” – Wiley (2016)
[8] T. Gillespie, “Fundamentals of Vehicle Dynamics” - Weber (1992)
[9] Ulsoy, A. Galip, Huei Peng, and Melih Çakmakci. "Automotive control systems". Cambridge University Press, 2012.

Teaching methods

Blackboard, Electronic Board, Microsoft Teams, Computer Simulations

Assessment methods and criteria

The exam consists of a mandatory oral exam and an optional group project (max 3 students).

The oral exam is aimed at assessing factual knowledge: the candidate must demonstrate knowledge of the concepts explained in class.

With the project, students solve a control problem in the automotive field. The exam includes the drafting of a technical report and the preparation of a simulator on which to test the proposed solution. During the development of the project, the group is strongly encouraged to interact with the instructor in a recursive submission-review logic until the grade deemed sufficient by the students in the group is reached. All members of the same group receive the same grade on a scale of thirty. The project grade will be proportional to the level of detail and quality of the work produced.

To pass the exam, students must demonstrate knowledge of the basics for the good design of a control system in the automotive field.

The oral exam grants a maximum grade of 24/30. The remaining 6 points are available through the completion of the project.

Attendance at lectures, although strongly recommended, is not necessary to pass the exam.

Other information

- - -

2030 agenda goals for sustainable development

- - -

Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.ingarc@unipr.it

Quality assurance office

Education manager:

T. 
Office E. dia.didattica@unipr.it
Manager E. 

 

President of the degree course

Prof. Massimo Bertozzi
E. massimo.bertozzi@unipr.it

Faculty advisor

Prof. Letizia Marchegiani
E. letizia.marchegiani@unipr.it

Career guidance delegate

Prof. Letizia Marchegiani
E. letizia.marchegiani@unipr.it

Tutor professor

Prof. Nicola Mimmo (UNIBO)
E. nicola.mimmo2@unibo.it
Prof. Riccardo Rovatti (UNIBO)
E. riccardo.rovatti@unibo.it

Erasmus delegates

to be determined

Quality assurance manager

Prof. Nicola Mimmo (UNIBO)
E. nicola.mimmo2@unibo.it
 

Internships

Prof. Alessandro Chini (UNIMORE)
E. alessandro.chini@unimore.it
Prof. Gaetano Bellanca (UNIFE)
E. gaetano.bellanca@unife.it
Prof.ssa Annamaria Cucinotta (UNIPR)
E. annamaria.cucinotta@unipr.it
Prof. Nicola Mimmo (UNIBO)
E. nicola.mimmo2@unibo.it
Prof. Paolo Pavan (UNIMORE)
E. paolo.pavan@unimore.it
Prof. Riccardo Rovatti (UNIBO)
E. riccardo.rovatti@unibo.it

Tutor students

to be determined