Performance Verification of Advanced Filtering Alternatives for Robust Fault Tolerant State Estimation in Nonlinear Processes

Miranda, Moira and Edelmayer, András and Molnár, Sándor (2011) Performance Verification of Advanced Filtering Alternatives for Robust Fault Tolerant State Estimation in Nonlinear Processes. MECHANICAL ENGINEERING LETTERS: R AND D : RESEARCH AND DEVELOPMENT, 6. pp. 234-255. ISSN 2060-3789

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In this paper a comparative study of alternative filtering solutions for robust state estimation in nonlinear systems is presented. The main issue the paper addresses is to find solution to make the state estimation robust against external disturbances, sensor failures and nuisance variation of the quality of the measurement signals. In the first part of the work the performance properties of the extended and unscented Kalman filters are discussed to reveal the differences, and congruencies of the two different approaches of filters' synthesis. Design features, such as the complexity of implementation and the sensitivity of the state initialization process on uncertain covariance information at regular filters startup are evaluated in a variety of real plant scenarios. The second part of the paper presents a dual layer approach for robust fault tolerant estimation of nonlinear processes using a combined filtering strategy. In this solution, from the one hand, the filter is made robust in face of environment uncertainty using filter adaptation. To this end, the filter identifies the measurement covariance by means of recursive estimation, upon which the adaptation relies, to suppress the effect of sporadic variations in the quality of measurements as well as compensates for incipient sensor faults. From the other hand, fault monitoring is continuously applied to the filter's innovation in an attempt to initiate filter reconfiguration when the adaptation mechanism alone is not able to overcome the failure. The discussion of the results is embedded in the case study of state estimation of a batch distillation process.

Item Type: Article
Additional Information: <2012>
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Systems and Control Lab
Depositing User: EPrints Admin
Date Deposited: 05 Feb 2014 12:19
Last Modified: 05 Feb 2014 15:50

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