|
|
Main menu for Browse IS/STAG
Course info
KRP / NLPMR
:
Course description
Department/Unit / Abbreviation
|
KRP
/
NLPMR
|
Academic Year
|
2023/2024
|
Academic Year
|
2023/2024
|
Title
|
Advanced Control Methods Laboratory
|
Form of course completion
|
Course-credit
|
Form of course completion
|
Course-credit
|
Accredited / Credits
|
Yes,
5
Cred.
|
Type of completion
|
Combined
|
Type of completion
|
Combined
|
Time requirements
|
Seminar
4
[HRS/WEEK]
|
Course credit prior to examination
|
No
|
Course credit prior to examination
|
No
|
Automatic acceptance of credit before examination
|
No
|
Included in study average
|
NO
|
Language of instruction
|
Czech
|
Occ/max
|
|
|
|
Automatic acceptance of credit before examination
|
No
|
Summer semester
|
0 / -
|
0 / -
|
0 / -
|
Included in study average
|
NO
|
Winter semester
|
23 / -
|
0 / 0
|
0 / 0
|
Repeated registration
|
NO
|
Repeated registration
|
NO
|
Timetable
|
Yes
|
Semester taught
|
Winter semester
|
Semester taught
|
Winter semester
|
Minimum (B + C) students
|
not determined
|
Optional course |
Yes
|
Optional course
|
Yes
|
Language of instruction
|
Czech
|
Internship duration
|
0
|
No. of hours of on-premise lessons |
0
|
Evaluation scale |
S|N |
Periodicity |
každý rok
|
Periodicita upřesnění |
|
Fundamental theoretical course |
No
|
Fundamental course |
No
|
Fundamental theoretical course |
No
|
Evaluation scale |
S|N |
Substituted course
|
None
|
Preclusive courses
|
N/A
|
Prerequisite courses
|
N/A
|
Informally recommended courses
|
N/A
|
Courses depending on this Course
|
N/A
|
Histogram of students' grades over the years:
Graphic PNG
,
XLS
|
Course objectives:
|
The aim of the course is to practice the knowledge acquired in the continuous- and discrete-time control subjects in the laboratory. Students gradually design and apply different types of control systems to laboratory processes - level, speed, temperature, position, pressure and flow control, for two-dimensional hydraulic-pneumatic system and for multi-dimensional system TecQuipment with flow, level, temperature and pressure control.
|
Requirements on student
|
Student must obtain credit and pass an oral exam.
|
Content
|
1. Controller design by placing poles in a continuous-time domain
2. Quadratically optimal controller in continuous-time - servo problem
3. Quadratically optimal controller in continuous-time - regulator problem
4. Controller design by placing the poles in the discrete-time domain
5. Quadratically optimal controller in discrete-time - servo problem
6. Quadratically optimal controller in discrete-time - regulator problem
7. Cascade control
8. Multidimensional decentralized controller
9. Multidimensional decentralized controller with cross-coupling compensation
10. Multivariate state-space controller
11. Adaptive controller - online identification through least squares method and a controller designed with the help of the pole placement
12. Adaptive controller - online identification through least squares method and quadratically optimal controller
13. Predictive controller
|
Activities
|
|
Fields of study
|
V případě mimořádných opatření bude výuka probíhat vzdáleně s využitím programu MS Teams v době dle rozvrhu. Účast na schůzkách skupiny v MS Teams je ekvivalentní účasti na přednáškách a cvičeních.
|
Guarantors and lecturers
|
|
Literature
|
-
Basic:
BALÁTĚ, J. Automatické řízení. Praha: BEN, 2004. ISBN 80-7300-148-9.
-
Basic:
HAVLENA, V., ŠTECHA, J. Moderní teorie řízení. Praha: ČVUT, 1999.
-
Recommended:
KWAKERNAAK, H., SIVAN, R. Linear Optimal Control Systems. New York: John Wiley & Sons, 1972. ISBN 0-471-51110-2.
-
Recommended:
DUŠEK, F., HONC, D. Matlab a Simulink: úvod do používání. Pardubice: Univerzita Pardubice, 2005. ISBN 80-7194-776-8.
|
Time requirements
|
Full-time form of study
|
Activities
|
Time requirements for activity [h]
|
Praktická výuka
|
13
|
Kontaktní výuka
|
52
|
Individual project
|
10
|
Příprava na zkoušku
|
10
|
Příprava na laboratorní měření, zpracování výsledků
|
20
|
Domácí příprava na výuku
|
26
|
Projekt týmový
|
20
|
Total
|
151
|
|
Prerequisites - other information about course preconditions |
Knowledge from subjects continuous- and discrete-time control. |
Competences acquired |
After completing the course the student understands advanced methods of continuous- and discrete-time control, has practical experience with application of methods in the laboratory conditions, can apply methods in Simulink environment, but also as a MATLAB script. |
Teaching methods |
- Monologic (reading, lecture, briefing)
- Dialogic (discussion, interview, brainstorming)
- Laboratory work
|
Assessment methods |
- Oral examination
- Home assignment evaluation
- Discussion
|
|
|
|