Course syllabus adopted 2022-02-15 by Head of Programme (or corresponding).
Overview
- Swedish nameSystem och mekatronik för mobilitetsteknik
- CodeEEN130
- Credits7.5 Credits
- OwnerMPMOB
- Education cycleSecond-cycle
- Main field of studyAutomation and Mechatronics Engineering, Mechanical Engineering
- DepartmentELECTRICAL ENGINEERING
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language English
- Application code 89117
- Block schedule
- Open for exchange studentsNo
- Only students with the course round in the programme overview.
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
|---|---|---|---|---|---|---|---|
| 0121 Design exercise1 7.5 c Grading: TH | 7.5 c | 0 c | 0 c | 0 c | 0 c | 0 c |
In programmes
Examiner
Jonas Fredriksson- Masterprogramansvarig, Mechanical Engineering, Mechatronics and Automation, Design along with Shipping and Marine Engineering
Eligibility
General entry requirements for Master's level (second cycle)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
English 6 (or by other approved means with the equivalent proficiency level)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Course specific prerequisites
Basic knowledge in automatic control, linear transforms and mechanics.Aim
Modeling, control design and simulation are important tools supporting engineers in the development of mobility systems, from early study of system concepts to optimization of system performance. The course aims to provide a theoretical basis to model-based design for mobility engineering. The course will cover mathematical modelling from basic physical laws and to use the developed models in design processes with specific focus on mobility applications.Learning outcomes (after completion of the course the student should be able to)
- Apply knowledge of basic mechanics on vehicular modelling in longitudinal, lateral and vertical direction.
- Use methods and tools to develop mathematical models of dynamical systems by using basic physical laws.
- Become familiar with the concept of state-space terminology.
- Linearize nonlinear continuous time models.
- Have knowledge on deriving discrete time models by sampling.
- Analyze system models from a controllability, observability and stability point of view.
- Explain, design, and analyze feedback controllers to meet a design specification.
- Explain, design, and analyze observers and apply them for state estimation.
- Detail the importance of adhering to the code of ethics in the engineering profession.
- Reflect on opportunities and challenges of working in a diverse team.
Content
The course will teach the basics of mathematical modeling with special focus on modeling for vehicles of various kinds, such as vessels, trains, aircrafts and cars. Based on the models, different types of control methods will be introduced and applied, from simple state feedback controllers to optimal control methods. Methods for estimating non-measurable system quantities will also be introduced and discussed in the course. Exercises play an important role throughout the course.The knowledge developed during the course will not only be a base for mobility systems engineering but can be useful for many different applications.
Organisation
The course comprises a number of lectures, problem sessions, and mandatory individual assignments.Literature
Karl J. Åström and Richard M. Murray, Feedback Systems: An Introduction for Scientists and Engineers, Second Edition, available onlineExamination including compulsory elements
Individual assignments with TH grading.The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.