Multivariable H infinite Control of Wastewater Biological Treatment Processes

Abstract

This paper has been carried out to develop an efficient multivariable H infinite robust control system, in the presence of the bounded parametric uncertainties, with good disturbance and measurement noise compensation. This strategy was applied to a biological wastewater treatment process in order to control the organic substrate concentrations associated with an appropriate control of the dissolved oxygen concentration. The objective of this paper is to synthesize a H infinite robust control structure with good results in reference tracking (in regard with the organic substrate and the dissolved oxygen concentration) and compensation of measurement noise, disturbances and model parametric uncertainties. The main disturbances were identified by using statistical precipitation data collected in multiple meteorological stations across the country. The literature considers only three main pluviometrical regimes: rain, normal and dryness. The wastewater treatment process with activated sludge is controlled considering the pluvial influent for an interval of one year and its daily variation.