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International audience; This paper tackles the gain-scheduling control design issue when endogenous signals are selected as scheduling parameters. In this case, the gain-scheduled controller exhibits nonlinear dynamics, leading to the occurrence of hidden coupling terms in the linearized dynamics. Omitting hidden coupling terms in the synthesis process may induce performance degradation or even the destabilization of the closed-loop system. The present paper aims at extending a previous work on the design of gain-scheduled controller for hidden coupling terms inclusion via eigenstructure assignment technique. The efficiency of the proposed procedure is illustrated on a pitch-axis missile autopilot benchmark problem and is validated through nonlinear simulations.

International audience; This paper presents a new procedure for the integrated plant and flight control system design in the presence of parametric uncertainties. The proposed approach is based on a design procedure consisting in casting gain-scheduling and robustness requirements into the framework of structured H-infinity design. As both controller architecture and gain-scheduling structure are defined a priori, the scheduled gains can be tuned by the newly available MATLAB-based tool systuneto minimize H-infinity constraints related to performance requirements over both operating and uncertain domains. It is shown that this technique allows for optimization and adjustment of plant’s physical parameters while satisfying closed-loop performance requirements. The proposed procedure is applied to the F-16 Fighting Falcon flight control system design under mass and center of gravity uncertainties by adjusting the location of an additional accelerometer to optimize the closed-loop performance while minimizing the horizontal tail area. Numerical studies are carried out to evaluate the effectiveness of the proposed approach.