Abstract: The generalized predictive contrller ( GPC) appears to be more robust than conventional adaptive controller in dealing with systems having varying and / or mismodelled dynamics. In this paper, a robust GPC law is combined with a robust parameter estimator to provide a practical adaptive control algorithm, which is applied to a ground air missile autopilot control system having fast time-varying dynamics. The influence of design and tuning parameters on the controller performance is analysed for setpoint tracking and disturbance rejestion, Aband-pass estimator filter and a controller filter are introduced into the GPC strategy for the purpose of improving the reliability of parameter estimation, providing robustness to model-plant mismatch and tailoring the rejection of disturbances, thus reducing the possibility of input oscillations and indeed saturation. Simulation results illustrate the good performance and the excellent properties of the presented control scheme, particularly its ability to cope with varying and mismodelled dynamics, variations of model order and high level disturbances.

Key words: adaptive control, predictive control, robust control, time-varying system, guidance, digital simulation