New Robust Control Analysis Methodology for Lynx Helicopter and Cessna Citation X Aircraft using Guardian Maps, Genetic Algorithms and LQR Theories Combinations

Autopilot analysis is a very complex stage in the design of an airplane or a helicopter. In addition to providing maneuverability criteria, the autopilot must be robust to uncertainties or changes in physical parameters changes. Using the LQR (Linear Quadratic Regulator) theory, a genetic algorithm and the guardian map theory, a methodology is described for designing an internal controller to be used by an the autopilot which satisfies accurate handling qualities while remaining robust. The algorithms were developed in Matlab® and the simulations were realized with Simulink®. A full nonlinear model of the Cessna Citation X and six linear models of the Lynx Helicopter for different speeds are used to show the results and evaluate the efficiency of the methodology.