The design of flight robust control law is always a challenge to the engineer. This difficulty is more actual in the area of the unmanned aerial vehicles (UAVs), which are vulnerable to the internal and external disturbances. This paper is devoted to the design of flight robust control law for the lateral channel of UAV based on <$E H sub 2 "/" H sub inf>-robust optimization. The task is divided into two stages, in the first stage a linear quadratic Gaussian (LQG) is synthesized based on the separation theorem. The second stage is consecrated to the robust optimization of the aforementioned regulator. It is known that the genetic algorithm optimization is more robust than traditional optimization procedures, also it has the propriety to converge to the global minimum and well suited to seek a compromise between multi-objectives function. The simulation results prove the efficiency of the proposed procedure.

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