Design of Robust Control Systems for a Hypersonic Aircraft

Robuste ightcontrolsystemsaresynthesizedforthelongitudinalmotionofahypersonicaircraft.Aircraftmotion is modeled by nonlinear longitudinal dynamic equations containing 28 uncertain parameters. Each controller is designed using a genetic algorithm to search a design coefe cient space; Monte Carlo evaluation at each search point estimates stability and performance robustness. Robustness of a compensator is indicated by the probability that stability and performance of the closed-loop system will fall within allowable bounds, given likely parameter variations. A stochastic cost function containing engineering design criteria (in this case, a stability metric plus 38 step-response metrics )is minimized, producing feasible control system coefe cient sets for specie ed control system structures. This approach trades the likelihood of satisfying design goals against each other, and it identie es the plant parameter uncertainties that are most likely to compromise robustness goals. The approach makes efe cient useofcomputationaltoolsandbroadlyacceptedengineeringknowledgetoproducepracticalcontrolsystemdesigns.

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