MULTIVARIABLE ADAPTIVE PREDICTIVE CONTROL OF AN AERATED LAGOON FOR A WASTE-WATER TREATMENT PROCESS

The application of an adaptive multivariable predictive model-based co ntrol scheme for the control of biotechnological processes is reported . Control design consists of regulating the residual concentrations of two main variables of a multistage wastewater treatment process. Unav ailability of measurements leads to the development of an identificati on technique derived to estimate simultaneously unavailable state vari ables and time-varying parameters of a nonlinear process. Convergence of the estimation scheme is demonstrated via a theorem and its proof u sing Lyapunov's method. The estimated variables are used in the explic it design of the control algorithm. Good simulation results have been obtained in regulation, tracking, disturbance rejection and transient behaviour, showing the efficiency of this adaptive control strategy.