Abstract: Slip ratio is important to antiskid brake system. To prevent serious skidding and obtain maximum friction coefficient, a design of intelligent brake system is presented. The system includes two parts: 1) A perfect slip ratio identifier constructed by ANN (artificial neural network) to get the real-time perfect slip ratio. 2) A FNN (fuzzy neural network) Controller to follow up with the target slip ratio. Computer simulation shows improvements of the system in precision, stability, robustness and adaptability to complicated work conditions.

Key words: antiskid, aircraft brake, simulation, neural network, fuzzy-neural network