Abstract:

A new design method for nonlinear flight control systems using feedback linearization with neural network is presented. Nonlinear dynamics systems are transformed into an equivalent linear system. Feedback linearization error is compensated by neural network which is capable of on line learning. A control structure is built using adaptive neural network. A stable weights adjustment rule is derived using a lyapunov function. It is applied to cruise missile terrain following. The result shows that the controller exhibits robustness and excellent tracking performance.

Key words: neural network, nonlinear control, feedback linearization, adaptive control, flight control