Dynamic and relative calibration of temperature sensors under uncertain parameters
The paper addresses sensor bias calibration when only differential bias is of interest as in relative calibration of different sensors. Temperature sensors are considered. Relative calibration is of interest in control problems where precise thermal gradients must be generated, or uniform and stable temperatures must be guaranteed. Static (or steady-state) and dynamic calibration are compared both theoretically and experimentally. Dynamic calibration has the advantage of employing any available measurement, but requires to dispose of a suitable dynamic model of the calibration equipment. A simple equipment with three sensors is considered in the paper, but the results can be extended to more complex ones. A further advantage is to perform calibration on any apparatus with the constraint (used in the paper) that the dynamic model is of the same order as the sensor size. Identifiability conditions are proved. Calibration is obtained through a nonlinear Weighted Least Squares problem, which is solved in an iterative way. Convergence, consistency and asymptotic efficiency are proved and verified with Monte Carlo simulations.
relative calibration system identification weighted least squares thermal sensors identifiability
Enrico Canuto José A. Ospina Wilber Acuna-Bravo
Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
1948-1955
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）