Course syllabus for Applied control system design

The course syllabus contains changes
See changes

Course syllabus adopted 2022-02-14 by Head of Programme (or corresponding).

Overview

  • Swedish nameTillämpad reglerdesign
  • CodeSSY251
  • Credits7.5 Credits
  • OwnerTIMEL
  • Education cycleFirst-cycle
  • Main field of studyAutomation and Mechatronics Engineering, Electrical Engineering
  • DepartmentELECTRICAL ENGINEERING
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language English
  • Application code 67117
  • Maximum participants70 (at least 10% of the seats are reserved for exchange students)
  • Open for exchange studentsYes

Credit distribution

0120 Laboratory 1.5 c
Grading: UG		 1.5 c
0220 Written and oral assignments 1.5 c
Grading: UG		 1.5 c
0320 Examination 4.5 c
Grading: TH		 4.5 c
  • 12 Jan 2024 am L
  • 03 Apr 2024 am L
  • 30 Aug 2024 pm L

In programmes

Examiner

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Eligibility

General entry requirements for bachelor's level (first 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

The same as for the programme that owns the course.
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

The course LEU236 Dynamical systems and control engineering, or equivalent knowledge, where students have learned about transfer functions and Bode diagram, but not necessarily state-space models.

Aim

The course aims at giving theoretical and practical knowledge in dynamic modelling, system identification, state estimation, and feedback controller design. Special focus is on state-space models and simulation as well as on components in computer-based control systems.

Learning outcomes (after completion of the course the student should be able to)

  • model linear and nonlinear processes, as state-space models and as transfer functions.
  • analyze properties of linear systems, e.g., stability, controllability, reachability, and observability.
  • use common methods for system identification, e.g., gradient descent algorithm and least squares method, in combination with parametric modeling.
  • design output feedback (e.g., PID and cascade control) and state feedback controllers to achieve desired system performance.
  • use computer-based tools for simulation and design of dynamic feedback systems.
  • search effectively for information in books, journals and local databases. 
  • evaluate information with regards to relevance and quality.
  • use a process-oriented approach to writing, which includes providing, receiving, and reflecting on feedback to develop technical writing.
  • identify and analyse technical methods.
  • identify, analyse, and develop data commentary in technical writing.
  • provide relevant observations in formal, technical written English on data pertaining to technical methods.

Content

  • State-space models of common dynamic processes, model discretization and linearization.
  • Analytical solution, stability analysis, and simulation of linear-time-invariant (LTI) systems.
  • Parametric optimization problem formulation and parameter identification algorithms.
  • Observe state variables from noisy measurements using Luenberger observer and Kalman filter.
  • Model-based observer design to estimate state variables.
  • PID and cascade control.
  • Controllability and reachability analysis, and state feedback control using eigenvalue assignment.
  • State feedback controller design with reference tracking, estimated states, and integral action.
  • Labs using PLC (programmable logic controller) and computer labs using Matlab/Simulink.
  • Written analysis of technical content.

Organisation

The education is given as lectures, workshops, exercises, lab experiments, computer labs, and hand-in exercises. The hand-in exercises and laboratory work are performed in groups of two students per group.

Literature

Feedback Systems: An Introduction for Scientists and Engineers. Karl Johan Åström och Richard M. Murray, Princeton University Press, 2008. 

Examination including compulsory elements

Approved computer- and hardware-based laboratory works, assignments, and written exam. Possibly additional assignments for bonus points. Final grades are given on a scale of 3-5 based on results from the written exam. 

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.

The course syllabus contains changes

  • Changes to module:
    • 2023-12-20: Digital exam No longer digital exam by Examinator
      [0320 Examination 4,5 credit] Changed to no digital examination