To have reliable simulation of helicopter flight dynamics, high quality simulation models are needed. First principle modeling alone is not sufficient to obtain high quality reliable modles and therefore system identification is employed. Given a model structure, system identification techniques use data from flight test and estimate model parameters. These model parameters play critical role in estimating key helicopter parameters. This work uses system identifivcation techniques to estimate a Joker 3 helicopter critical flight parameters. The longitudinal and lateral short period oscillation frequencies and damping parameters, as well as the main rotor flapping time constant, are identified.The helicopter parameter were estimated using two different softeware packages and the results matched. Estimated parametyrs are comparable to those of similar size helicopter.
NomenclatureR =main rotor diameter. δcol = collective input. δlat = lateral cyclic input. δlon = longitudinal cyclic input. δped = pedal input. e = main rotor flapping time constant. nq = longitudinal dynamics natural frequency. np = lateral dynamics natural frequency. lon A =longitudinal cyclic to flap gain lat B =lateral cyclic to flap gain nom = nominal m.r. speed150 rad/s.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.