Abstract:

In order to eliminate the disadvantage of high order which comes from the common model reference adaptive control method when solving the high order nonlinear system problem, the output feedback arbitrary reference model adaptive control is introduced; and the single hidden layer neural network is used to approach  the reference model so as to compensate the error which comes from linearization and uncertain; the direct Lyapunov stability theory is used to prove the boundary of the error.Finally, the method is used to solve the automatic aircraft glide-landing controller design based on longitudinal nonlinear model. The simulation results show that the designed controller can meet the requirements of the aircraft which has been designated mission.