Adaptive control of three-tank-system: Comparison of two methods

Abstract

This paper compares two different methods applied to adaptive control of a real multivariable laboratory system of three interconnected tanks. In first case, a controller based on polynomial methods was used. The second method is based on model predictive control (MPC) approach. Both methods are based on a same model of the controlled process. Both controllers were realized as self - tuning controllers with on - tine recursive identification of an ARX model of the controlled process. Results of real-time experiments are also included and quality of control achieved by both methods is compared and discussed.