Dynamic Event-Triggered Robust Feedback Model Predictive Tracking Control of Air-Breathing Hypersonic Vehicle Based on Disturbance Preview

Abstract

This work investigates the tracking control problem for the attitude system of an air-breathing hypersonic vehicle with unknown disturbance, and presents a dynamic event-triggered robust feedback model predictive control (DET-RFMPC) based on disturbance preview (DP) scheme. The DP technique is introduced to estimate the current and approximate future disturbance values to improve the accuracy of the prediction model. Then, the resulting disturbance estimation error is tackled by robust feedback model predictive control with constraint tightening. Specifically, to address the second-order property of the controlled system, the virtual tracking reference is introduced into robust model predictive control to improve adaptability and control performance. Moreover, to alleviate the calculation burden and maintain the anticipated tracking performance, simultaneously, the event-triggered mechanism with dynamic measurement is taken into account. The sufficient conditions ensuring the feasibility of the proposed algorithm and the stability of the closed-loop system are analyzed. Finally, the simulation study performs the effectiveness of the presented DP-based DET-RFMPC strategy.