A model-free predictive controller with Laguerre polynomials

This paper presents a combined subspace system identification and model predictive-control algorithm with Laguerre orthonormal functions. The term commonly used for such an approach is called model-free predictive control. The main contribution of this paper is to investigate the effect of non-stationary disturbance on the stability and performance of existing modelfree predictive controllers and to propose a design approach that naturally incorporates integral action as a result of the non-stationary disturbance in the system. A mathematical model of a food extruder is used in the simulation studies for illustration purposes and for demonstrating the efficacy of the proposed model-free predictive control algorithm.