Design of a Robust Observer with Super-Twisting Algorithm for Simultaneous Concentration Estimation and Faults Reconstruction in a CSTR
This paper deals with the problem of simultaneous concentration and faults estimations of a continuous stirred tank reactor (CSTR) subject to unknown inputs. We propose a combination of two robust nonlinear observers for state estimation and fault reconstruction without any use of a linear approxima...
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| Published in | International journal of chemical reactor engineering Vol. 17; no. 8 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
01.08.2019
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| Online Access | Get full text |
| ISSN | 1542-6580 1542-6580 |
| DOI | 10.1515/ijcre-2018-0073 |
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| Summary: | This paper deals with the problem of simultaneous concentration and faults estimations of a continuous stirred tank reactor (CSTR) subject to unknown inputs. We propose a combination of two robust nonlinear observers for state estimation and fault reconstruction without any use of a linear approximation of the CSTR dynamic model. Based on the high-gain observer, the proposed scheme can guarantee the asymptotic estimation of the concentration inside the reactor, while, a robust term is added to the nominal plant on the basis of the super-twisting algorithm for fault reconstruction. The stability analysis is proved mathematically using the Lyapunov theory. The effectiveness and robustness of the proposed scheme are illustrated via simulations. |
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| ISSN: | 1542-6580 1542-6580 |
| DOI: | 10.1515/ijcre-2018-0073 |