Authors:
Peter C. Hung
1
;
Seán F. McLoone
1
;
George W. Irwin
2
and
Robert J. Kee
2
Affiliations:
1
National Unviersity of Ireland Maynooth, Ireland
;
2
Virtual Engineering Centre, Queen’s University Belfast, United Kingdom
Keyword(s):
Sensor, system identification, thermocouple, blind deconvolution.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
Signal Reconstruction
Abstract:
Thermocouples are one of the most popular devices for temperature measurement in many mechatronic implementations.However, large wire diameters are required to withstand harsh environments and consequently the sensor bandwidth is reduced. This paper describes a novel algorithmic compensation technique based on blind deconvolution to address this loss of high frequency signal components using the outputs from two thermocouples.In particular, a cross-relation blind deconvolution for parameter estimation is proposed. A feature of this approach, unlike previous methods, is that no a priori assumption is made about the time constant ratio of the two thermocouples. The advantages, including small estimation variance, are highlighted using results from simulation studies.