New strategy for fast model based predictive control using Volterra model : Real time application

Abstract

In this paper we present a new nonlinear predictive control strategy based on Volterra model. In the objective of minimizing the computation time by avoiding non-linear optimization, the implementation of the control via an STM 32 is carried out offline increased with an on-line fuzzy supervision. The control results are very satisfactory in tracking and in regulation, also showing an important favor of the computational load. Real-time implementation proves that this approach is very efficient for control and supervision of fast dynamic nonlinear systems.