Technology
Subject: ELECTRONICS SYSTEMS/AUTOMATIC CONTROLS (A.A. 2020/2021)
master degree course in ADVANCED AUTOMOTIVE ENGINEERING
| Course year | 1 |
|---|---|
| CFU | 12 |
| Teaching units |
Unit Electronic Systems
Related or Additional Studies (lesson)
|
|
Unit Automatic Controls
Related or Additional Studies (lesson)
|
|
| Exam type | written |
| Evaluation | final vote |
| Teaching language | inglese |
Teachers
Overview
ELECTRONIC SYSTEMS MODULE
The course aims at giving students those tools needed to know and understand the fundamental elements by which electronic systems operate in the framework of automotive systems.
The goal is not to educate electronic designers, rather to offer a broad and basic competence on the working of electronic systems, that is developing the ability to work as a part of interdisciplinary teams also including electronic designers and experts in information technologies.
AUTOMATIC CONTROLS MODULE
After a brief summary on elementary concepts of linear algebra, the course will provide students with the fundamental tools for the modelling and analysis of (multivariable) dynamic systems and their structural properties. Basic tools of system theory will be introduced, and the design of advanced control schemes addressed
Admission requirements
ELECTRONICS SYSTEMS MODULE
- Fundamentals of Circuit Theory
- Basics of logic and computer design
AUTOMATIC CONTROLS MODULE
- Linear Algebra;
- SISO systems analysis: Laplace Transform; Bode Diagrams; Nyquist Diagrams; Stability Criteria for SISO Systems;
- PID for SISO systems;
Course contents
ELECTRONIC SYSTEMS MODULE
Introduction: sensing, signal conditioning, information processing, actuation. Structure of electronic systems interfaced with mechanical parts. Fundamentals of circuit theory.
The ingredients: basics of electronic devices. Diodes, MOS Transistors, power devices. Use of transistors as switches and as continuous regulators.
Elements on technologies for sensors and actuators.
Digital systems: logic gates; digital signals; combinatorial and sequential networks; logic families; representation of numbers; fundamental function blocks; ALUs and microcontrollers; PLAs and FPGAs.
Analog systems: the operational amplifier, basic filters, techniques for signal conditioning.
Data acquisition and information representation: D/A and A/D conversion. Time encoding: V/F and F/V conversion; pulse width and pulse density modulations.
Hints on actuation and power conversion: more on continuous regulation and switched mode regulation.
AUTOMATIC CONTROLS MODULE
PART 1 - Systems Theory
State Space Representation, Stability, Controllability/Stabizability, Observability/Detectability, Kalman Decomposition, Optimal Control, Optimal State Observer
PART 2 – Tire, Vehicle and Engine Dynamics
Tire Dynamics; Vertical, Longitudinal and Lateral Vehicle Dynamics;
PART 3 – Control 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)
PART 4 – Estimation applications
Velocity Estimation, Yaw rate Estimation, Sideslip Angle Estimation, Tire-Road friction coefficient estimation
Teaching methods
The course will be based on theoretical lectures presented both on the blackboard and using slides. Some lectures will be devoted to the presentation of exercises, examples, case studies, both at the blackboard and through the use of numerical computation platforms (e.g., Matlab), graphical environment for programming and simulation of multidomain dynamical systems (e.g., Simulink), or circuit level simulators (e.g., Spice). The slides used for the course will be made available for the students. The same shall happen for the code used in the examples, the demonstrations and the case studies.
Assessment methods
The assessment of the competences acquired by the students is based both on a written test and an oral exam. The written test includes some exercises aimed at evaluating both the understanding of the contents of the course (and specifically of some parts of the course), and the achievement of some practical ability to manage analysis and design tools. The oral exam complements the written test by looking more deeply at theoretical aspects.
Learning outcomes
ELECTRONIC SYSTEMS MODULE
By the end of the course, the student shall possess knowledge useful to practice simple forms of signal conditioning, data acquisition, and information processing with specific reference to mechatronic and automotive applications.
Furthermore, he/she shall be trained to read technical documentation, to understand the results of system level and circuit level simulations and to use formalization, notations and merit factors helping his/her activity as part of interdisciplinary design teams comprising experts in information technology and electronics.
AUTOMATIC CONTROLS MODULE
By the end of the course, the student shall possess knowledge useful to analyze the behavior of dynamical systems, both in time and frequency domains. He/she will be able to design control algorithms to modify the vehicle dynamics.
Readings
- A. Smaili, F. Mrad, “Applied Mechatronics”, Oxford University Press, 2008
- W. Ribbens, “Understanding automotive electronics: an engineering perspective”, Elsevier, 8th Edition, 2017
AUTOMATIC CONTROLS MODULE
PART 1
[1] P. J. Antsaklis, A. N. Michel, "Linear Systems" - Birkhauser (2006) - - ISBN 978-0-8176-4434-5
[2] K. Zhou, J. C. Doyle, K. Glover, “Robust and Optimal Control” – Prentice Hall (1996)
[3] D. Simon, “Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches” – Wiley (2006)
PARTS 2 to 4
[4] T. Gillespie, “Fundamentals of Vehicle Dynamics” - Weber (1992)
[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)