A New Design Method of Mismatched Smith Predictor (optimisation approach)

This paper presents a new design method of mismatched Smith predictor for delayed systems. It concerns an optimal controller parameters tuning and a system modelling. The method is based on the resolution of a multi-objective optimisation problem which consists in finding the parameters of a controller and a system model that minimises two objective functions: the modelling and the tracking errors. As the two objectives functions are minimised simultaneously, therefore both the controller and the model parameters act together for a fast convergence of the optimal problem. The second advantage of the method is that both the controller and the system model structures can be chosen by the user according to the real plant dynamic. The method is applied to several typical delayed processes and the results are compared with those of other methods in order to illustrate its efficiency.