A variable structure control law for hypersonic vehicles based on genetic algorithm

A variable structure control law is presented according to a generic hypersonic vehicle model. First, the model is transformed into an affine system through input-output feedback linearization. Then, a structure of the control law is designed for the affine system. After the structure design of the control law, all control parameters of the control law are optimized based on a genetic algorithm. On the basis of the genetic algorithm, the optimization process for all control parameters takes into account a stochastic robustness strategy, which is used to make the instability possibility of the flight control system as low as possible. Finally, through simulations, the design method demonstrates its contribution to dealing with extreme parameter uncertainties in stochastic uniform distributions.