Following the recent interest of using optimization to solve tricky engineering problems, tmulti-objective optimization methods is applied to the clearance phase of flight control laws. The clearance problem is related to prove that aircraft control systems are capable of keeping it flying within flight envelope bounds, regardless of pilot inputs and environmental conditions. Previous work have focused on the technical viability of this approach, dealing with single criterion clearance, but in an real validation phase, there are usually multiple criteria that need to be checked, therefore requiring either multiple runs of a single-objective method, or ideally a multi-objective approach. The wellknown non-dominated sorting galgorithm and a internally developed method are both tested against a highly non-linear certified AIRBUS aircraft simulation model. Pareto optimal solutions to the multi-criteria clearance problem were found with higher probability than the current probabilistic Monte-Carlo approach. A hybrid combination of local and global optimization is also evaluated to improve worst-cases.
On the use of optimization for flight control laws clearance: A practical approach
2011
6 Seiten, 7 Bilder, 4 Tabellen, 11 Quellen
Aufsatz (Konferenz)
Datenträger
Englisch