Title :
Inversion based state estimation in bioleaching process with measurement noises
Author_Institution :
Coll. of Electr. Eng., Hohai Univ., Nanjing, China
Abstract :
In this paper, the ldquoassumed inherent sensorrdquo inversion (AISI) that is a soft-sensor in essence is used to perform the on-line estimation of the directly immeasurable state variables in the bioleaching process performed by Thiobacillus Ferrooxidans (T. ferrooxidans). 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 for such a bioleaching process with measurement noises. The simulation results show the effectiveness of the AISI.
Keywords :
biosensors; leaching; mathematical analysis; state estimation; Thiobacillus Ferrooxidans; assumed inherent sensor inversion; bioleaching process; inversion based state estimation; measurement noises; Automation; Biosensors; Mathematical model; Microorganisms; Noise measurement; Nonlinear systems; Observers; Performance evaluation; Sensor systems; State estimation; Assumed Inherent Sensor (AIS); Bioleaching Process; Inversion; Soft-sensor;
Conference_Titel :
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location :
Zhuhai, Macau
Print_ISBN :
978-1-4244-3607-1
Electronic_ISBN :
978-1-4244-3608-8
DOI :
10.1109/ICINFA.2009.5204950