Authors: NAFİZ AYDIN HIZAL
Abstract: Adaptive Model Control (AMC) is an adaptive control methodology that makes use of FIR (Finite Impulse Response) adaptive modeling and that requires a minimum of a priori knowledge about the plant to be controlled. The control relies on the inversion of the adaptively obtained model. In this work, a Gain Scheduling version of this methodology is proposed and tested on the simulated pitch dynamics of the A-4D aircraft, which is a time varying plant. The proposed system is formed by combining the Adaptive Model Control system with a learning algorithm that learns and stores the AMC weight vectors under various operating conditions in a ``gain scheduling matrix''.
Keywords: Adaptive Control, Adaptive Model Control, Gain Scheduling, Time Varying Plants
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