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Titolo:
Nonlinear state and parameter estimation in batch biological wastewater treatment
Autore:
Hvala, N; Bavdaz, G; Kocijan, J;
Indirizzi:
Jozef Stefan Inst, SI-1000 Ljubljana, Slovenia Jozef Stefan Inst Ljubljana Slovenia SI-1000 SI-1000 Ljubljana, Slovenia Salonit Anhovo DD, SI-5210 Anhovo, Slovenia Salonit Anhovo DD Anhovo Slovenia SI-5210 o DD, SI-5210 Anhovo, Slovenia Univ Ljubljana, Fac Elect Engn, SI-1000 Ljubljana, Slovenia Univ Ljubljana Ljubljana Slovenia SI-1000 n, SI-1000 Ljubljana, Slovenia
Titolo Testata:
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
fascicolo: 2, volume: 32, anno: 2001,
pagine: 145 - 156
SICI:
0020-7721(200102)32:2<145:NSAPEI>2.0.ZU;2-M
Fonte:
ISI
Lingua:
ENG
Soggetto:
ACTIVATED-SLUDGE PROCESS; OBSERVER; SYSTEMS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
17
Recensione:
Indirizzi per estratti:
Indirizzo: Hvala, N Jozef Stefan Inst, Jamova 39, SI-1000 Ljubljana, Slovenia Jozef Stefan Inst Jamova 39 Ljubljana Slovenia SI-1000 Slovenia
Citazione:
N. Hvala et al., "Nonlinear state and parameter estimation in batch biological wastewater treatment", INT J SYST, 32(2), 2001, pp. 145-156

Abstract

Wastewater treatment is an active research area from both the technological and the control points of view. Various types of supervisory and low-level control approaches can be applied in this field. However, the inaccessibility of sensors which should provide the data needed for control is one of the major obstacles in current development. Estimation is therefore a prerequisite for performing those control tasks that rely on important process variables which cannot be measured directly. In this paper an estimation algorithm for simultaneous state and parameter estimation of a nonlinear process is derived for a batch biological wastewater treatment process. The aim is to estimate two important process variables related to dissolved oxygen dynamics during the aerobic phase of a batch cycle: the oxygen transfer function and biomass respiration rate. The main contributions of the work presented are providing on-line information about these variables for improved process control and diagnosis, and the application of the chosen nonlinear estimation algorithms for simultaneous state and parameter estimation in process control.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/04/20 alle ore 01:37:35