Dm. Mcdowell et al., HYBRID NEURAL ADAPTIVE-CONTROL FOR BANK-TO-TURN MISSILES, IEEE transactions on control systems technology, 5(3), 1997, pp. 297-308
Citations number
29
Categorie Soggetti
Controlo Theory & Cybernetics","Robotics & Automatic Control","Engineering, Eletrical & Electronic
A novel hybrid neural adaptive bank-to-turn (BTT) lateral autopilot is
described for a short-range command-to-line-of-sight (CLOS) surface-t
o-air missile. This employs a multiinput-multioutput Gaussian radial b
asis function (RBF) network in parallel with a constant parameter, ind
ependently regulated lateral autopilot, to adaptively compensate for r
oll-induced cross-coupling time-varying aerodynamic derivatives and co
ntrol surface constraints, in order to achieve consistent tracking per
formance over the flight envelope, The hybrid neural autopilot is eval
uated in three dimensional (six-degree of freedom) simulation studies
against realistic pitch acceleration and roll rate profiles generated
from a typical CLOS guidance scenario, and its performance compared wi
th a carefully designed gain scheduled autopilot, The results are foun
d to be encouraging and clearly demonstrate the potential advantages o
f the neurocontrol scheme.