Internal model control based on RBF neural network an application for fermentation process of beer

Aiming at a nonlinear, time variant and time delay temperature control system in beer fermentation process, this paper presents an algorithm using internal model control based on RBF neural network. The internal model and the controller are represented by Radial Basis Function (RBF) neural network respectively. Simulation results show that the proposed algorithm has good properties in terms of robustness and transient.