Abstract:

An adaptive trajectory linearization control strategy and its application to an aerospace vehicle (ASV) are presented. Theoretical analysis illustrates that the current trajectory linearization control method (TLC) lacks enough robustness to the system uncertainties. Firstly, a radial basic function neural network disturbance observer (RDO) is developed. Rigorous proof demonstrates that the RDO has excellent approximation ability to monitor the uncertainties. Then, a novel adaptive TLC scheme is provided by combining the TLC with the RDO output.

Key words: flight , control , system,  , nonlinear , control , system,  , adaptive , control,  , neural , network