Synthesis of robust control systems for a hypersonic aircraft

Stochastic robustness analysis is a flexible probabilistic framework for defining the robustness of control systems. Here, robust linear-quadratic-regulators are synthesized to control the nonlinear longitudinal dynamics of a hypersonic aircraft with uncertainties in 28 parameters. The compensators are designed using a genetic algorithm to search a design parameter space and Monte Carlo evaluation to define the robustness cost surface. The method is shown to produce control structures that satisfy nominal stability and performance goals, while minimizing robustness cost functions.<
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