Title :
“Assumed inherent sensor” inversion based soft-sensing in bioleaching process
Author :
Wang, Wancheng ; Dai, Xianzhong ; Li, Xunming
Author_Institution :
Coll. of Electr. Eng., Hohai Univ., Nanjing, China
Abstract :
The on-line estimation of the directly immeasurable state variables in the bioleaching process performed by Thiobacillus Ferrooxidans (T. ferrooxidans) is achieved by the ldquoassumed inherent sensorrdquo inversion (AISI) that is a soft-sensor in essence. The ldquoassumed inherent sensorrdquo (AIS) of the bioleaching process is first constructed successfully according to the systematic modeling algorithm proposed in our pervious work, and then the mathematical model of the AISI is obtained eventually after proving the invertibility of the AIS. Finally, the simulations are performed by using the AISI, and the satisfactory simulation results show the effectiveness of the AISI and its good estimation performance.
Keywords :
biosensors; biotechnology; leaching; Thiobacillus ferrooxidans; assumed inherent sensor inversion; bioleaching process; soft-sensing; Automation; Biosensors; Educational institutions; Mathematical model; Sensor systems; State estimation; Assumed Inherent Sensor Inversion (AISI); Bioleaching Process; Soft-Sensing;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5195028