Systems and Control Laboratory SCE4206
Læringsutbytte
To get practical experience in modeling, simulation, programming and control of physical, industry-like processes.
A candidate who has completed the course SCE4206 Systems and Control Laboratory will have a learning outcome in the form of acquired knowledge, skills, and general competence, as described below:
Knowledge
The candidate will:
- Have knowledge on study of system behavior based on simulation and practical implementations.
- Have knowledge in designing and/or analyzing computer based systems for solving industrial problems and challenges.
- Have knowledge in developing data acquisition systems based on state of the art measurement and instrumentation systems.
- Have knowledge about system identification and model-based control methods such as Kalman Filter and Model Predictive Control (MPC).
- Have knowledge about industrial IT and data communication.
Skills
The candidate will:
- Be able to implement data acquisition and control systems in modern and widely used programming languages.
- Be able to use modern and industry-leading software from well-known vendors.
- Be able to apply control theory on practical implementation.
- Be able to apply industrial IT and use data communication in practical applications.
General competence
The candidate will:
- Be able to cooperate and work together with others to solve given problems.
- Be able to plan and implement industrial systems based on industrial standards.
- Be able to communicate acquired knowledge and achieved results in systems and control via technical report writing.
Innhold
In the course will be based on practical lab work based on the following topics:
- State Estimation: Use and implementation of state estimation methods such as Kalman Filters and Observers.
- System Identification: Use and implementation of state estimation methods such as the Least Square method and different Subspace/black-box methods.
- Industrial Process Control Systems: Use and implement Industrial Process Control Systems, such as SCADA systems (Supervisory Control and Data Acquisition).
- Industrial IT and Data Communication: Use relevant industrial standards such as OPC, Real-Time Systems, etc.
- Industrial Process Database systems: Design and implementation of such systems. SQL (Structured Query Language)
- Simulation and Process Control including PID control and tuning, Feed forward Control, Model Predictive Control (MPC) and other known techniques. - Data Acquisition (DAQ): Use and practical implementation of data acquisition systems.
- Control theory: Use of and implementation of basic control theory, such as State-space models, transfer functions, discretization, and block diagrams, etc.
- HMI design (Human Machine Interface) /GUI design (Graphical User Interface)
Numbers of different labs and the contents of the lab work will vary from year to year, but they will mainly be based on the topics described above.
A range of hardware and lab equipment will be used in the lab work, such as small-scale, physical, industry-like processes, DAQ devices, etc. Together with available hardware, the lab work will include the use of modern and industry leading software such as, e.g., LabVIEW, Visual Studio, MATLAB and Simulink, industrial OPC software and database software from well-known vendors.
Arbeids- og læringsformer
This course is a practical lab course. The course will use the theory already learned in other courses in the program, no new theory will be introduced. The course will have no ordinary lectures, only a set of lab assignments.
The course will use known theory on practical implementation based on group based lab work. The main focus in the course is based on understanding and practical use of known theory, not mathematical derivations.There will be both group work and individual work.
Vurderingsformer
Lab work and practical test of skills based on the lab work counts totally 60%.
The students will work in groups, but the grade will be based on individual work. Based on the lab work, the students will document their work in technical reports.
A final, individual written test about topics of the project work counts 40% of the final grade.
The grades A-F are used.
Det tas forbehold om mindre justeringer i planen.
Publisert av / forfatter Hans-Petter Halvorsen <hans.p.halvorsenSPAMFILTER@hit.no>, sist oppdatert av Unni Stamland Kaasin - 12.01.2013