Abstract
In this paper an Extended Kalman Filter (EKF) and a Takagi-Sugeno observer (TSO) are presented under the impact of parameter errors as an observer for temperature monitoring, like a virtual sensor, of a embroidered metal-polymer hybrid heater structure. An implementation of the temperature estimator for health monitoring is important to guarantee a gentle, fault-free operation of the heater. It can be used to control the resulting temperature without a direct measurement or to guarantee the users' safety by reacting to overheating. Simulations justify the different observation strategies.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018 |
| Number of pages | 6 |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 08.10.2018 |
| Pages | 887-892 |
| Article number | 8486033 |
| ISBN (Print) | 978-1-5386-4326-6 |
| ISBN (Electronic) | 978-1-5386-4325-9 , 978-1-5386-4324-2 |
| DOIs | |
| Publication status | Published - 08.10.2018 |
| Event | 23rd International Conference on Methods and Models in Automation and Robotics - MMAR 2018 - Amber Baltic Hotel, Miedzyzdroje, Poland Duration: 27.08.2018 → 30.08.2018 Conference number: 23 http://mmar.edu.pl/ |
Research areas and keywords
- Extended Kalman filter
- Health monitoring
- Takagi-Sugeno observer
- Virtual sensing
- Engineering
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Observer Strategies for Virtual Sensing of Embroidered Metal-Polymer Heater Structure
Schimmack, M. (Speaker), Pöschke, F. (Coauthor), Schulte, H. (Coauthor), Mercorelli, P. (Coauthor) & Mercorelli, P. (Speaker)
30.08.2018Activity: Talk or presentation › Conference Presentations › Research
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