Design of Dual Loop Networked Control Systems with Different Sampling Rate Based on Gain Adaptive Smith Predictor

Abstract

A class of dual loop networked control systems with different sampling rate is discussed in this paper. Generally, Smith predictor can be used to overcome the influence of network delay. However, influence of prediction model inaccuracy, different sampling rate and interference always appear in the actual systems, and the systems based on conventional Smith predictor cannot achieve the desired control effect. The gain adaptive Smith predictor is proposed for this class of networked control systems, which can be used to overcome the problems caused by inaccurate prediction model, interference and various sampling rate. The simulation results based on MATLAB show that the proposed method is efficient and feasible.