Global finite-time neural network control method for aircraft based on switching mechanism
A neural network control, finite time technology, applied in the field of aircraft control, can solve the problem of seldom considering whether the neural network approximation is always effective
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[0095] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:
[0096] The technical solution adopted by the present invention to solve its technical problems is: a global finite-time neural network control method for aircraft based on a switching mechanism, which is realized through the following steps:
[0097] (a) Consider the vehicle longitudinal channel dynamics model:
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[0103] The kinematics model consists of five state quantities X=[V, h, γ, α, q] T and two control inputs U=[δ e ,Φ] T Composition; where, V represents velocity, γ represents track inclination, h represents height, α represents angle of attack, q represents pitch angular velocity, δ e Indicates rudder deflection angle, Φ indicates throttle valve opening; T, D, L and M yy represent thrust, drag, lift and pitching moment respectively; m, I yy and g denote the mass, the moment of inertia of the...
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