Double-loop networked control system of DC motor based on dynamic smith predictor and Fuzzy-PI controller

The double-loop control system of DC motor based on network is investigated in this paper. System configuration consists of the real-time network and three intelligent nodes. In order to overcome the network-induced time delay, the dynamic Smith predictor and Fuzzy-PI hybrid control strategy are proposed respectively while designing the current and speed loop. Finally, simulation platform based on Matlab/Simulink and TrueTime toolbox is established. Taking different delay upper bounds into account, the dynamic responses of speed and armature current is given and analyzed. Simulation results show that system has excellent dynamic characteristics and robustness when the network random delay upper bound is less than one second. The effectiveness of control method proposed in this paper provides a reference for other networked cascade control system.