State and unknown input estimation for nonlinear singular systems : application to the reduced model of the activated sludge process
| Autor: | B. Boulkroune, Michel Zasadzinski, Mohamed Darouach, S. Gille |
|---|---|
| Přispěvatelé: | Centre de Recherche en Automatique de Nancy (CRAN), Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Lorraine (INPL)-Université Henri Poincaré - Nancy 1 (UHP), Laboratoire des Technologies Industrielles (LTI), Centre de Recherche Public Henri-Tudor [Luxembourg] (CRP Henri-Tudor), Zasadzinski, Michel |
| Jazyk: | angličtina |
| Rok vydání: | 2008 |
| Předmět: |
0209 industrial biotechnology
State variable Observer (quantum physics) Automatic control Activated sludge process 02 engineering and technology Kalman filter State (functional analysis) 010501 environmental sciences 01 natural sciences Extended Kalman filter [SPI.AUTO]Engineering Sciences [physics]/Automatic Nonlinear system [SPI.AUTO] Engineering Sciences [physics]/Automatic 020901 industrial engineering & automation Rank condition Control theory Unknown input estimation 0105 earth and related environmental sciences Mathematics Descriptor systems |
| Zdroj: | 16th Mediterranean Conference on Control and Automation, MED'08 16th Mediterranean Conference on Control and Automation, MED'08, Jun 2008, Ajaccio, France. pp.CDROM |
| Popis: | International audience; An estimation of the state and the unknown inputs of the reduced nonlinear model of an activated sludge process using the Extended Kalman Filter (EKF) is proposed. First, we present the reduced nonlinear model. This model contained five state variables and four unknown inputs. For satisfying the rank condition for the construction of an EKF, one unknown input has been approximated and the daily mean value of another unknown input has been used. Then, to estimate conjointly the state and the unknown inputs, the reduced nonlinear system is transformed to a nonlinear singular system. High performances of the proposed observer will be shown through the simulation results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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