TY - CHAP

T1 - An extended kalman filter for temperature monitoring of a metal-polymer hybrid fibre based heater structure

AU - Schimmack, Manuel

AU - Haus, Benedikt

AU - Leuffert, Philipp

AU - Mercorelli, Paolo

N1 - Conference code: 15

PY - 2017/8/21

Y1 - 2017/8/21

N2 - In this paper an Extended Kalman Filter (EKF) is used as an observer for temperature monitoring, like a virtual sensor, of a metal-polymer fibre based heater structure. Metal-coated polymers are relevant for the realisation of smart systems (capable of both sensing and actuating). A real-time implementation of the temperature estimator is important to guarantee a gentle, fault-free operation of the heater and to reject disturbances. It can be used to control the resulting temperature without a direct measurement or to guarantee the users' safety by reacting to overheating. An estimation strategy is necessary because for normal operation in the real world, measurements of the temperature are usually not available, but it is important to know it in order to implement health monitoring algorithms or to do a safe shutdown if necessary. Simulations justify the observation strategy while measurements validate the utilized model.

AB - In this paper an Extended Kalman Filter (EKF) is used as an observer for temperature monitoring, like a virtual sensor, of a metal-polymer fibre based heater structure. Metal-coated polymers are relevant for the realisation of smart systems (capable of both sensing and actuating). A real-time implementation of the temperature estimator is important to guarantee a gentle, fault-free operation of the heater and to reject disturbances. It can be used to control the resulting temperature without a direct measurement or to guarantee the users' safety by reacting to overheating. An estimation strategy is necessary because for normal operation in the real world, measurements of the temperature are usually not available, but it is important to know it in order to implement health monitoring algorithms or to do a safe shutdown if necessary. Simulations justify the observation strategy while measurements validate the utilized model.

KW - Heating

KW - Kalman filters

KW - Organic inorganic hybrid materials

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85028762599&partnerID=8YFLogxK

U2 - 10.1109/AIM.2017.8014046

DO - 10.1109/AIM.2017.8014046

M3 - Article in conference proceedings

AN - SCOPUS:85028762599

SN - 978-1-5090-5998-0

T3 - IEEE International Conference

SP - 376

EP - 381

BT - 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)

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

T2 - IEEE International Conference on Advanced Intelligent Mechatronics 2017

Y2 - 3 July 2017 through 7 July 2017

ER -