The performance of current anti-skid brake controllers on aircraft becomes degraded due to the uncertain nature of the runway conditions. This paper presents the design of an intelligent anti-skid neural controller to overeome this problem. Their learning ability, nonlinear mapping ability and pattern-recognition capability are the features of neural networks that are ideally suited to the design of intelligent controllers. The controller described here identifies the runway condition from the aircraft-wheel responses, and modulates the brake torque for optimum braking. The proposed controller exhibits robustness under variations in brake characteristics and runway conditions. Simulation results confirm the satisfactory performance of the controller in adapting to changes in runway conditions.
Intelligent anti-skid brake controller using a neural network
Intelligenter Antiblockierbremsregler mit neuronalem Netz
Control Engineering Practice ; 7 , 5 ; 611-621
1999
11 Seiten, 10 Bilder, 2 Tabellen, 14 Quellen
Aufsatz (Zeitschrift)
Englisch
Neural Network Augmented Anti-skid Controller For Transport Aircraft
British Library Conference Proceedings | 1999
|Disc brake development and anti-skid braking devices
Engineering Index Backfile | 1961
|