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Advanced nonconvex nonsmooth optimization techniques for ¦xed-order H∞ robust control are proposed in this paper for design of §ight control systems (FCS) with prescribed structure. Compared to classical techniques i tuning of and successive closures of particular single-input single-output (SISO) loops like dampers, attitude stabilizers, etc. i all loops are designed simultaneously by means of quite intuitive weighting ¦lters selection. In contrast to standard optimization techniques, though (H2, H∞ optimization), the resulting controller respects the prescribed structure in terms of engaged channels and orders (e. g., proportional (P), proportional-integral (PI), and proportional-integralderivative (PID) controllers). In addition, robustness with regard to multimodel uncertainty is also addressed which is of most importance for aerospace applications as well. Such a way, robust controllers for various Mach numbers, altitudes, or mass cases can be obtained directly, based only on particular mathematical models for respective combinations of the §ight parameters.

Low orderH∞optimal control for ACFA blended wing body aircraft

Low orderH_∞optimal control for ACFA blended wing body aircraft