The improved Fuzzy-Smith compensator based on modeling error for network control system

Abstract

This paper proposes a Fuzzy-Smith compensator based on the modeling error for the time delay compensation of network control system (NCS). When the controlled plant is a nonlinear time-varying system, the identification model error of Smith predictor will change as well, which will lead to a poor control performance. For this problem, the fuzzy control method based on identification model gain self-tuning is introduced to improve the robustness of the compensator. Simulation and experimental results show good performance on the time delay compensation and modeling error correction for the NCS.