An efficient on-line thermal input estimation method using kalman filter and recursive least square algorithm

Autor:	Pan-Chio Tuan, Wen-Tien Hou, Sou-Chen Lee
Rok vydání:	1997
Předmět:	Noise Mean squared error Computer science Control theory Applied Mathematics Lag Line (geometry) Estimator Kalman filter Diffusion (business) Thermal diffusivity Engineering (miscellaneous)
Zdroj:	Inverse Problems in Engineering. 5:309-333
ISSN:	1029-0281 1068-2767
DOI:	10.1080/174159797088027665
Popis:	An on-line thermal unknown's estimation method using Input Estimation algorithm has been successfully employed in 1-D and 2-D Inverse Heat Conduction Problems (IHCP). However, implementing this method involves handling various system parameters such as measurement noise, modeling error, external disturbance and changes due to time variation. In this work, we use Root Mean Square Error (RMSE) as performance index, versus forgetting factor under input numerical experiment to identify not only the performance surface, but also the optimal or robust forgetting factor. To directly synthesize Kalman filter with input estimator, this work also presents an efficient robust forgetting factor zone, capable of providing a reasonable tracking time-lag and noise filtered estimation results. In addition, the thermal diffusion lag caused by the diffusion nature of the IHCP is also discussed and compensated for.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::de78402bf5559c6123aabb0130747b8e https://doi.org/10.1080/174159797088027665 Zobrazit plný text záznamu