Abstract:

A new brake system control method with neural networ k and fuzzy logic is proposed. The nonlinearity identification and trace following in braking process are solved by using the neural network. The bad effects of parameter and environment changes are overcome by using fuzzy control. The error of the model is avoided at the same time. Then, the new proposed controller is simulated on some aircraft. The results indicate that the new method can improve the aircraft brake performance greatly.

Key words: neur al netw o rk, f uzzy contr ol, a ntiskid br ake sy stem, slipping r atio, simulatio n