Predictive control of three-tank-system utilizing both state-space and input-output models

Abstract

The paper introduces a controller which integrates a predictive control synthesis based on a multivariable state-space model of a controlled system and an on-line identification of an ARX model corresponding to the state-space model. The used approach then combines both the state-space and input-output models. The model parameters are recursively estimated using the recursive least squares method. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The controller was applied for simulation control of a model of a three-tank-system. The objective simulation model is a two input-two output (TITO) nonlinear system. Results of simulations are also included. © ECMS Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors).