Identificação de modelos para controle preditivo : aplicação a uma planta de lodos ativados

AUTOR(ES)
DATA DE PUBLICAÇÃO

2005

RESUMO

This work deals with the synthesis of an adaptive predictive controller, based on reduced models obtained via identification oriented to predictive control. The methodology proposed involves two important areas for the success of the identification experiment. In the first one, excitation signal design, it is shown how pseudo-random multilevel signals can be designed to effectively satisfy the requirements that excitation signals relevant for control should satisfy. In the second, predictor modelling, the identification of long-range horizon predictors is approached. The main objective of the proposed methodology is the control of the nitrogen removal in an predenitrifying activated sludge wastewater treatment plant. This methodology is applied to control the ammonium concentration in the denitrifying reactor. The controllers are evaluated in a simulation study, showing the effectiveness of the proposed methodology to control ammonium and nitrate concentrations.

ASSUNTO(S)

sewage predictive control system identification controle preditivo aguas residuais identificação de sistemas aguas residuais sewage

ACESSO AO ARTIGO

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