Valid for: 2017/18
Decided by: PLED E
Date of Decision: 2017-03-27
Compulsory for: IEA3
Language of instruction: The course will be given in Swedish
The course aims to provide advanced knowledge in control engineering and automation. Areas within the control engineering that is advanced is primarily systems of state space and time discrete systems. Both are important to understand and formulate control algorithms for both simulation and implementation of controllers with microprocessors /computers. A brief introduction to multivariable control theory is also an important complement to previous automatic control skills. The automation part consists of an introduction to the analysis of machine management modeled by time discrete Markov chains. The course includes laboratory and simulation related to state feedback, descrete time control and Markov chains.
Knowledge and understanding
For a passing grade the student must
should be able to analyze simpler multivariable control systems
should be able to analyze the control system of the state space
should be able to analyze discrete-time control
should be able to analyze simpler Markov chains
Competences and skills
For a passing grade the student must
will be able to calculate decoupling filter for simpler multivariable systems
will be able to size the state feedback processes from a given specification
will be able to calculate the controllers in discrete-time control systems from a given specification
will be able to develop programs to implement discrete-time controllers
will be able to perform modeling of product flows in simple manufacturing processes using Markov chains
Judgement and approach
For a passing grade the student must
should be able to select an appropriate sampling interval for a discrete-time controller given specification and process characteristics
State models ands state feedback
Discrete-time systems and Z-transformers
Servo technology
Discrete time Markov chains
Multivariable systems
Decoupling filter for multivariable control
Aliasing effect
Stability criteria for discrete-time systems
Pole placement design for discrete-time controllers
Simple process identification with the least squares method
Examples of medeling with Markov chains in automation
Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Approved laborations and a written exam
The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Required prior knowledge:
FMA645, FMAA50 Mathematical analysis, FMF656, FMAA55 Linear Algebra, EIEF05 Automation and FRT602, EIEF30 Automatic Control
The number of participants is limited to: No
Course coordinator: Mats Lilja, mats.lilja@hbg.lth.se
Director of studies: Henriette Weibull, henriette.weibull@iea.lth.se
Course homepage: http://rauni.iea.lth.se:8074/eief20/automfk.htm