Sliding mode fuzzy neural network estimator using 8-bit microcontroller for motor fan air volume control

This paper proposed sliding mode controller with fuzzy neural network estimator using 8-bit microcontroller in motor fan system (MFS). MFS wind flow has nonlinear dynamic behavior. We use fuzzy and neural network theory to estimate the lumped uncertainty in MFS. The estimator of adaptive laws is obtained by using the Lyapunov function. The low cost 8-bit microcontroller and Microsoft visual basic human interface are demonstrated through the experiments by designing controller. Experimental results are presented to validate the proposed control methods.