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Automotive control systems

03MIQOV, 03MIQQW

A.A. 2020/21

Course Language

Inglese

Course degree

Master of science-level of the Bologna process in Ingegneria Informatica (Computer Engineering) - Torino
Master of science-level of the Bologna process in Mechatronic Engineering (Ingegneria Meccatronica) - Torino

Course structure
Teaching Hours
Lezioni 45
Esercitazioni in laboratorio 15
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Malan Stefano Alberto Ricercatore ING-INF/04 35 0 20 0 14
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
ING-INF/04 6 C - Affini o integrative AttivitÓ formative affini o integrative
2020/21
The course aim is to provide an overview on the main automotive control problems and related solutions, dealing with chassis, engine and driveline subsystems. Some of the vehicle control systems, selected from the most common and usually present on commercial cars are deepened.
The course aim is to provide an overview on the main automotive control problems and related solutions, dealing with chassis, engine and driveline subsystems. Some of the vehicle control systems, selected from the most common and usually present on commercial cars are deepened.
- Learning of the vehicle subsystems: chassis, engine, driveline - Learning of detailed and simplified vehicle modelling for each subsystem - Learning of vehicle control aspects and objectives for each subsystem and their interactions - Learning of possible solutions to each control problem - Ability to adapt vehicle model complexity to simulation, estimation, design aims - Ability to formulate vehicle control objectives - Ability to tune control systems and to evaluate the obtained performances - Ability to tune and evaluate a control system by means of the numerical simulation
- Learning of the vehicle subsystems: chassis, engine, driveline - Learning of detailed and simplified vehicle modelling for each subsystem - Learning of vehicle control aspects and objectives for each subsystem and their interactions - Learning of possible solutions to each control problem - Ability to adapt vehicle model complexity to simulation, estimation, design aims - Ability to formulate vehicle control objectives - Ability to tune control systems and to evaluate the obtained performances - Ability to tune and evaluate a control system by means of the numerical simulation
The student must know the automatic control fundamental concepts and methods: the notion of dynamic system, its mathematical representation, its properties analysis, the notion of performance and feedback, the regulator design main techniques, such as the state or output feedback, both in the time and frequency domain. Digital control techniques, such as sampling, reconstruction and digital filter realization, are useful, together with robustness notion and its related analysis and design techniques. Basics on mechanical and thermodynamics systems and their mathematical description are as well useful. The student must be able to use the MATLAB/SIMULINK software environment.
The student must know the automatic control fundamental concepts and methods: the notion of dynamic system, its mathematical representation, its properties analysis, the notion of performance and feedback, the regulator design main techniques, such as the state or output feedback, both in the time and frequency domain. Digital control techniques, such as sampling, reconstruction and digital filter realization, are useful, together with robustness notion and its related analysis and design techniques. Basics on mechanical and thermodynamics systems and their mathematical description are as well useful. The student must be able to use the MATLAB/SIMULINK software environment.
Course presentation and overview on automotive control problems (2 hours). Chassis control problems: - Longitudinal dynamic during braking and acceleration: ABS and TC (7 hours). - Yaw dynamic in steering manoeuvres: ESP (7 hours). Engine control problems: - Thermodynamic phenomena (4 hours). - Combustion engines principles (4 hours). - Air fuel ratio control (6 hours). - Idle speed control (4 hours). - Knock control (5 hours). - Cylinder balancing (2 hours). Driveline control problems: - Gear shifting (4 hours). If possible, presentation of automotive companies are scheduled during the course.
Course presentation and overview on automotive control problems (2 hours). Chassis control problems: - Longitudinal dynamic during braking and acceleration: ABS and TC (7 hours). - Yaw dynamic in steering manoeuvres: ESP (7 hours). Engine control problems: - Thermodynamic phenomena (4 hours). - Combustion engines principles (4 hours). - Air fuel ratio control (6 hours). - Idle speed control (4 hours). - Knock control (5 hours). - Cylinder balancing (2 hours). Driveline control problems: - Gear shifting (4 hours). If possible, presentation of automotive companies are scheduled during the course.
Room lectures on the course topics (45 hours). Laboratory lectures: deepening of the chassis and driveline subjects by means of numerical exercises. The lectures take place in a computer laboratory using CARSIM, a professional numerical simulator of the vehicle dynamics, together with the software tool MATLAB/SIMULINK (15 hours). If possible, visit to automotive companies are scheduled during the course.
Room lectures on the course topics (45 hours). Laboratory lectures: deepening of the chassis and driveline subjects by means of numerical exercises. The lectures take place in a computer laboratory using CARSIM, a professional numerical simulator of the vehicle dynamics, together with the software tool MATLAB/SIMULINK (15 hours). If possible, visit to automotive companies are scheduled during the course.
U. Kiencke, L. Nielsen, Automotive Control Systems: For Engine, Driveline and Vehicle, Springer-Verlag, Second Edition, 2005. A.G. Ulsoy, H. Peng and M. ăakmakcř, Automotive Control Systems, Cambridge University Press, 2012 Additional material, such as notes, lecture slides and laboratory exercise files, is made available to students.
U. Kiencke, L. Nielsen, Automotive Control Systems: For Engine, Driveline and Vehicle, Springer-Verlag, Second Edition, 2005. A.G. Ulsoy, H. Peng and M. ăakmakcř, Automotive Control Systems, Cambridge University Press, 2012 Additional material, such as notes, lecture slides and laboratory exercise files, is made available to students.
ModalitÓ di esame: Prova scritta tramite PC con l'utilizzo della piattaforma di ateneo;
The exam aims at verify - the comprehension of the topics presented during the course and of the software tools used in the laboratories and the consequent strengthened analysis made on the case studies; - the ability to extend the given concepts to cases similar to the presented ones. The exam is a written examination made of multiple choice questions (with a penalty of ╝ of the question score if the given answer is wrong); yes/no questions; matching questions. The questions deal with methodology, numerical exercises, software laboratory exercises and CarSim knowledge, etc. During the exam it is possible to look through books, personal notes, lecture slides, etc.
Exam: Computer-based written test using the PoliTo platform;
The exam aims at verify - the comprehension of the topics presented during the course and of the software tools used in the laboratories and the consequent strengthened analysis made on the case studies; - the ability to extend the given concepts to cases similar to the presented ones. The exam is a written examination made of multiple choice questions (with a penalty of ╝ of the question score if the given answer is wrong); yes/no questions; matching questions. The questions deal with methodology, numerical exercises, software laboratory exercises and CarSim knowledge, etc. During the exam it is possible to look through books, personal notes, lecture slides, etc.
ModalitÓ di esame: Test informatizzato in laboratorio; Prova scritta tramite PC con l'utilizzo della piattaforma di ateneo;
The exam aims at verify - the comprehension of the topics presented during the course and of the software tools used in the laboratories and the consequent strengthened analysis made on the case studies; - the ability to extend the given concepts to cases similar to the presented ones. The exam is a written examination made of multiple choice questions (with a penalty of ╝ of the question score if the given answer is wrong); yes/no questions; matching questions. The questions deal with methodology, numerical exercises, software laboratory exercises and CarSim knowledge, etc. During the exam it is possible to look through books, personal notes, lecture slides, etc.
Exam: Computer lab-based test; Computer-based written test using the PoliTo platform;
The exam aims at verify - the comprehension of the topics presented during the course and of the software tools used in the laboratories and the consequent strengthened analysis made on the case studies; - the ability to extend the given concepts to cases similar to the presented ones. The exam is a written examination made of multiple choice questions (with a penalty of ╝ of the question score if the given answer is wrong); yes/no questions; matching questions. The questions deal with methodology, numerical exercises, software laboratory exercises and CarSim knowledge, etc. During the exam it is possible to look through books, personal notes, lecture slides, etc.
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