Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications
Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications
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A novel approach based on the application of an expressly tailored random search algorithm (Stochastic Gain Synthesis) to the design of a MiniUAV control system is presented in this paper. This methodology, joined to the well known Stochastic Robustness Analysis concept, may be applied to the design of control systems granting adequate level of robustness according to plant characterization and stability criteria. Due to the unconventional dynamics and its sensitivity to geometric, inertial and aerodynamic characteristics, control system design for MiniUAVs represents a challenging task whenever stability and performance requirements related to aircraft flying qualities have to be fulfilled. The robustness characteristics of the designed controller play a key role in granting adequate level of tolerance to plant uncertainties, environmental changes and flight condition variations within the planned mission profile.