SYRONov 11, 2020

Improvement of plant performance using Closed loop Reference Model Simple Adaptive Control for Micro Air Vehicle

arXiv:2011.05924v1
AI Analysis

This work addresses performance limitations in adaptive control for micro air vehicles, representing an incremental improvement to an existing control architecture.

The authors tackled the problem of improving transient performance in Simple Adaptive Control for Micro Air Vehicles by incorporating a closed-loop reference model based on output feedback, resulting in enhanced system performance without requiring high adaptation gains or additional control efforts, as validated through simulations of lateral model dynamics.

In this paper, we present a novel idea to improve the transient performance of the existing Simple Adaptive Control architecture, without requiring high adaptation gains. Improvement in performance is achieved by incorporating the closed loop reference model based on the output feedback to the Simple Adaptive Control architecture. In this proposed scheme, the reference model dynamics is driven by the desired command as well as the error signal between the plant output and the reference model output. It is shown that the modified control architecture improves the system performance without any additional control efforts, which is then validated through simulations of the lateral model dynamics of Micro Air Vehicle.

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