Study Of Twin-aisle Aircraft Brake System Control Method

Aircraft anti-skid braking system is a relatively separate subsystem in aircraft, which plays a very important role in taking off, landing and skidding, and the design of control law is regarded as the most important technique in the whole system.For the shortage that system model and control are both based on single channel, the bilateral wheels models are separately established and the double channels system control law is put forward in this paper. The fuzzy control and BP neural network are used to design control law in this paper, and bilateral wheels is coordinated to control by balance algorithm of double channels.The difference between the reference velocity and wheel velocity and its differential are used as input variables. Anti-skidding current is used as output variable. And control rules are summarized according to the experience of professionals. The 2-dimention fuzzy controller is designed consequently. For the shortage that airplane is easy to skid at low speed, BP neural network is used to improve system performance. The difference between the reference velocity and wheel velocity and anti-skidding current are used as input-output datum in BP neural network, and the most great error and average error are applied to evaluate controller. The perfect controller used in system is given by training.The double channels model and improved control used in the system are simulated in the Matlab6.5/simulink. The result shows: The model based on double channels accords with the fact. The control law ensures that airplane bilateral wheels velocity is consistent, prevents sideslip and severe slip, improves system performance.