The invention provides an intelligent super-helix strong robustness attitude control method. A self-adaptive back propagation (BP) neural network is combined with a super-helix sliding mode control algorithm; an attitude regulation scheme aiming at a flexible aircraft is designed. According to the scheme provided by the invention, the requirements of rapid response, strong robustness and the like of a flexible aircraft system can be met, and a convergence speed, which is rapider than a standard super-helix algorithm, is provided. Meanwhile, by adopting the scheme, parameter self-adaptive adjustment is realized; buffeting caused by high-frequency switching behaviors is effectively inhibited; by self-adaptive grains, the problems of overshooting and control gain selection difficulty are also solved.