An Anti-Skid Controller for Aircraft Applications Based on Computational Intelligence

The main purpose of this work is the development of an intelligent anti-skid braking system for business jet that would allow the maintenance of good performance during braking in all types of track conditions. In fact, one of the main problems in abs controllers modelling is due to the significantly variation of the optimal value of the friction coefficient closely related to the track conditions (dry, wet, icy); so it is extremely difficult to define a controller that ensures optimal braking performance in all environmental conditions. This study has involved the design of two controllers, based on computational intelligence techniques such as Artificial Neural Networks and Fuzzy Logic. In fact, AI is an excellent tool for the development of procedures dedicated to control systems which are complex and nonlinear like abs controllers. The application of these techniques seems particularly appropriate in the case of inadequate physical models as in the case of friction between wheels and track. The developed controllers make possible to operate in an unstable equilibrium point in order to achieve optimum braking performance