Letzte Änderung : 24.01.2025 22:00:32   


Output

Code: 214250
Module title: State Estimation
Version: 1.0 (03/2016)
Last update: 5.04.2023 07:08:02
Person responsible for content: 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 timetable: SoSe+WiSe (summer and winter semester)
Module level:Bachelor/Diplom
Duration:1 semester
Language of Instruction:English
Place where the module will be offered:Zittau

ECTS Credits: 5
Student workload (in hours): 150

Number of hours of teaching:
total
subdivided into
4
2
Lecture
1
Seminar/Exercise
1
Laboratory work
0
Other
Self study time (in hours):
sum
subdivided into
105
70
Preparation of contact hours
35
Preparation of exam
0
Other

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 Goals
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.

Prerequisites: competence from following module (without burden of proof):
- Mathematics
Optional: 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