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dc.contributor.advisor Su, Wei-Wen en_US
dc.contributor.author Li, Jian en_US
dc.date.accessioned 2009-03-06T19:31:20Z en_US
dc.date.available 2009-03-06T19:31:20Z en_US
dc.date.issued 2002-12 en_US
dc.identifier.uri http://hdl.handle.net/10125/6949 en_US
dc.description vi, 78 leaves en_US
dc.description.abstract Photobioreactors are indispensable technical systems to cultivate photoautotrophic microorganisms. Sensing and control of photobioreactors are an essential and integral part of photobioreactor technology. The requirements of low instrumentation cost and multiple parameter on-line sensing call for innovative approach to address the sensing problems of photobioreactors. In this research, we apply on-line estimation methodology to photobioreactor systems. Two types of on-line estimators were developed and tested, using the extended Kalman filter as the optimizing algorithm. One was based the measurement of the dissolved oxygen level, and the other was based on the measurement of local irradiance level. Both estimators were proved to be able to track major cultural states, and detailed development of system models, implementation of the estimators, and the tuning of the parameters involving in the extended Kalman filters were reported in this thesis. en_US
dc.publisher University of Hawaii at Manoa en_US
dc.rights All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner. en_US
dc.rights.uri https://scholarspace.manoa.hawaii.edu/handle/10125/1943 en_US
dc.title On-Line State Estimation of Microalgal Photobioreactors en_US
dc.type Thesis en_US
dc.type.dcmi Text en_US
dc.contributor.department Biosystems Engineering en_US
dc.description.degree MS en_US
dc.date.graduated 2002-12 en_US
local.identifier.callnumber Q111 .H3 no. 3746 en_US

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