Network-based controlled DC motor with fuzzy compensation

This paper introduces a fuzzy logic compensation approach for the network-based controlled DC motor. The approach is based on modulating the control signal provided by the central controller in the network-based system with a single parameter. The inputs to the fuzzy compensator are the error signal between the reference and the actual output of the DC motor, and the output signal from the PI controller. The output from the fuzzy compensator is the modulator parameter. This parameter modulates the output of the PI controller in order to reduce the effect of the network delays and different available bandwidth. The results show that using fuzzy compensation can be an effective approach to improve the performance of the DC motor controlled through the network.