Observer Strategies for Virtual Sensing of Embroidered Metal-Polymer Heater Structure
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
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/ |
- Extended Kalman filter, Health monitoring, Takagi-Sugeno observer, Virtual sensing
- Engineering