Research on Stochastic Robust Attitude Control Technology Based on Latin Hypercube Sampling

Aiming at the large uncertainty of the model in the High Speed Gliding Vehicle during motion, a stochastic robust control method based on intelligent sampling is proposed. Latin hypercube sampling (LHS) is used to sample the uncertainty domain, and the sampling time can be reduced. Then, the stochastic robust objective function is established, and the parameters of the control law are optimized by genetic algorithm, so that the control precision can meet the design target in the uncertain domain. The simulation results of a High Speed Gliding Vehicle show that the scheme can meet the system control requirements and has strong robustness.