Application of a Novel Adaptive Reset Controller to the GTM

Abstract

In this paper, we discuss the application of a novel adaptive reset controller to the GTM to improve a transient performance in addition to remedy the uncertainties present in the system. A reset controller is a linear controller that resets some of its states to zero when its input is zero. On the other hand, an adaptive controller is a nonlinear controller that automatically changes its gains to maintain stability even with uncertainties present in the system. Borrowing some of the key ideas from the reset control, this paper addresses the impact of introducing a resetting scheme into an adaptive controller on stability and performance improvement. An adaptive controller with an integral action and a resetting strategy is proposed to address the uncertainties. Two dierent algorithms are proposed to carry out the resetting. In each case, we show that the controllers lead to improved system performance, as well as that the stability of the closed-loop system is guaranteed. The controllers are then evaluated for command following with the NASA Langley Generic Transport Model (GTM) is discussed. Simulations of a high-delity GTM simulink model are carried out to validate the proposed adaptive controllers. The results show that the adaptive reset controller leads to a signicantly improved performance compared to a nonadaptive controller and to an adaptive controller without any resetting strategies.