|
| Code: | 214250 |
| Module title: | State Estimation |
| Version: | 1.0 (03/2016) |
| Last update: |
13.02.2024 |
| Responsible person: |
Prof. Dr.-Ing. Kästner, Wolfgang
w.kaestner@hszg.de |
|
Offered in 3 study courses:
| Automation and Mechatronics (B.Eng.) valid from class 2018 |
Automation and Mechatronics (B.Eng.) valid from class 2021 |
Electrical Engineering (B.Eng.) valid from class 2024 |
|
| Semester according to time table: | SoSe+WiSe (summer and winter semester)
|
| Module level: | Bachelor/Diplom |
| Duration: | 1 semester |
| Status: | elective core module (specialization) |
| Place where the module will be offered: | Zittau |
| Language of Instruction: | English |
| Workload* in |
SCH ** |
semester |
| hours | ECTS
Credits |
1 |
2 |
3 |
4 |
5 |
6 |
|
L |
S |
P |
O |
L |
S |
P |
O |
L |
S |
P |
O |
L |
S |
P |
O |
L |
S |
P |
O |
L |
S |
P |
O |
| 150 | 5 | 4.0 |
|
|
|
|
2 |
1 |
1 |
0 |
|
| * | Overall workload per module
(1 ECTS credit corresponds to a workload of 30 hours) |
| ** | One semester credit hour (SCH) corresponds to a workload /
class meeting of 45 minutes per week in a semester |
| Self study time in hours |
total |
subdivided into |
| 105 |
70
Preperation of contact hours |
35
Preparation of exam |
0
Others |
|
Learning and teaching methods: | The methodical aspects of the topic will be communicated by lectures. Seminars and exercises as well as practical courses at laboratory (PC tool) serve for consolidation of knowledge. |
| Further information: | PC-based exercises will be realized to train the handling of simulation tools. |
| Exam(s) |
| Assessment | Major examination (written report) |
- |
100.0% |
|
| Syllabus plan/Content: |
- State space (basics, modelling and simulation)
- State estimation (motivation)
- Observer
foundations of observer philosophy
classical observer – structure, design, sensitivity analysis
- Kalman Filter
foundations of kalman filter philosophy
kalman filter – structure, design, sensitivity analysis
- Hybrid Observer
fuzzy-supported observer strategies
- Applications
|
| Learning Outcomes: |
| Subject-specific skills and competences: | The students analyze a technological process and design a state space model. They define a pole configuration and design a stat observer as well as a state controller. The students simulate the complete system and are able to evaluate and present the results. |
| Generic competences (Personal and key skills): | The students are able to create and realize strategies for problem solving from the individual point of view or as a result of teamwork.
The students use approaches of system theory. The students evaluate their results and are able to present the results. |
|
| Pre-requisites: | competence from following module (without burden of proof):
- Mathematics |
| Optional pre-requisites: | competence from following module:
- Signals and Systems |
|
| Literature: | Wang, Y.: Advances in State Estimation. Springer, 2020
Barfoot, T. D.: State estimation for robotics. C. U. Press, 2019
Lei, B. et al.: Classification, Parameter Estimation and State estimation. Wiley&Sons, 2017
Lutz H. / Wendt W.: Taschenbuch der Regelungstechnik, Harry Deutsch, 2021
Föllinger O.: Regelungstechnik, VDE Verlag, 2022
Zimmermann, U. / Ortwig, H.: Regelungstechnik II. Shaker, 2021
Walter, H.: Zustandsregelung. Springer, 2019
Marchthaler, R. / Dingler, S.: Kalman-Filter. Springer, 2017
Diebes, H.: Entwurf von Mehrgrößensystemen im Zustandsraum. GRIN, 2016
Unbehauen H.: Regelungstechnik I – III, Vieweg Verlag, 2008-2011
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