Improved adaptive model control

Abstract

The Adaptive Model Control methodology is based on obtaining the model of a plant adaptively by using a FIR (Finite Impulse Response) filter, and inverting this model algebraically for use as the controller. This will practically cancel the plant dynamics when connected in cascade with the plant. The Adaptive Inverse Control methodology has the same aim but a different means for obtaining the plant inverse; the inverse is obtained by a second adaptive process. Adaptive Inverse Control systems have been studied with the “disturbance cancelation” and the “reference model” features added, while the algebraically inverting Adaptive Model Control systems could also support the same advanced features with a simpler and faster adapting structure. In this work, a scheme for adding the above features to an adaptive Model Control system is proposed, and using the A-4D aircraft as a test platform in simulations, the performance of this system is evaluated and compared to that of the Adaptive Inverse Control under the same operating conditions.