Observer Strategies for Virtual Sensing of Embroidered Metal-Polymer Heater Structure

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Observer Strategies for Virtual Sensing of Embroidered Metal-Polymer Heater Structure. / Schimmack, Manuel; Poschke, Florian; Schulte, Horst et al.
Proceedings of the 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018. IEEE - Institute of Electrical and Electronics Engineers Inc., 2018. p. 887-892 8486033.

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Schimmack, M, Poschke, F, Schulte, H & Mercorelli, P 2018, Observer Strategies for Virtual Sensing of Embroidered Metal-Polymer Heater Structure. in Proceedings of the 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018., 8486033, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 887-892, 23rd International Conference on Methods and Models in Automation and Robotics - MMAR 2018, Miedzyzdroje, Poland, 27.08.18. https://doi.org/10.1109/MMAR.2018.8486033

APA

Schimmack, M., Poschke, F., Schulte, H., & Mercorelli, P. (2018). Observer Strategies for Virtual Sensing of Embroidered Metal-Polymer Heater Structure. In Proceedings of the 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018 (pp. 887-892). Article 8486033 IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MMAR.2018.8486033

Vancouver

Schimmack M, Poschke F, Schulte H, Mercorelli P. Observer Strategies for Virtual Sensing of Embroidered Metal-Polymer Heater Structure. In Proceedings of the 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018. IEEE - Institute of Electrical and Electronics Engineers Inc. 2018. p. 887-892. 8486033 doi: 10.1109/MMAR.2018.8486033

Bibtex

@inbook{b704fca247c348d6a1a2d9684ac39bf1,
title = "Observer Strategies for Virtual Sensing of Embroidered Metal-Polymer Heater Structure",
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.",
keywords = "Extended Kalman filter, Health monitoring, Takagi-Sugeno observer, Virtual sensing, Engineering",
author = "Manuel Schimmack and Florian Poschke and Horst Schulte and Paolo Mercorelli",
year = "2018",
month = oct,
day = "8",
doi = "10.1109/MMAR.2018.8486033",
language = "English",
isbn = "978-1-5386-4326-6 ",
pages = "887--892",
booktitle = "Proceedings of the 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "23rd International Conference on Methods and Models in Automation and Robotics - MMAR 2018, MMAR 2018 ; Conference date: 27-08-2018 Through 30-08-2018",
url = "http://mmar.edu.pl/",

}

RIS

TY - CHAP

T1 - Observer Strategies for Virtual Sensing of Embroidered Metal-Polymer Heater Structure

AU - Schimmack, Manuel

AU - Poschke, Florian

AU - Schulte, Horst

AU - Mercorelli, Paolo

N1 - Conference code: 23

PY - 2018/10/8

Y1 - 2018/10/8

N2 - 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.

AB - 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.

KW - Extended Kalman filter

KW - Health monitoring

KW - Takagi-Sugeno observer

KW - Virtual sensing

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85056475734&partnerID=8YFLogxK

U2 - 10.1109/MMAR.2018.8486033

DO - 10.1109/MMAR.2018.8486033

M3 - Article in conference proceedings

AN - SCOPUS:85056475734

SN - 978-1-5386-4326-6

SP - 887

EP - 892

BT - Proceedings of the 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 23rd International Conference on Methods and Models in Automation and Robotics - MMAR 2018

Y2 - 27 August 2018 through 30 August 2018

ER -