Improved self-adaptive Smith predictive control scheme for time-delay system

Abstract

This paper presents an improved self-adaptive Smith predictive control scheme for time-delay systems. An FNNC (Fuzzy Neural Network Controller) is used to control the plant instead of the conventional PID controller, an improved identification algorithm with an adaptive vector forgetting factor is used to identify time-varying parameters, and the Smith predictor is realised. Simulation results show that this method can suppress the effects of parameter variations.