作者: Manu Sharma , Anthony J Calise , Seungjae Lee
DOI: 10.2514/6.2000-3940
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摘要: This paper describes a neural network based direct adaptive control approach to the problem of reconfigurable flight control. The law was first tested using model tailless fighter aircraft configured with multiple and redundant actuation devices, subsequently both in piloted simulation test on X-36 aircraft. used for design illustrate level which handling qualities can be maintained presence failures channels. Of significance here is speed recovery maintenance take place. main advantage lies eliminating need parameter identification during phase, limiting potential reallocation following failure. A second by-product this work that an accurate aerodynamic data base purpose significantly reduced. Moreover, extensive off-line analysis, in-flight tuning validation gain schedules, contingency coding necessary handle large set possible failure modes substantially Thus overall may also viewed as path reducing cost associated development new