Abstract

This paper focuses on the altitude tracking issue for air-breathing hypersonic vehicles. It proposes a rapid altitude tracking method with synthetical consideration on the angle of attack constraint, which is crucial to keep the scramjet away from the inlet unstart. For the inner-loop, the novel compensator is considered in the conjunction of the backstepping approach to design a flight path angle tracking controller. The compensator helps the controller to limit the angle of attack with the uncertainties. For the out-loop of the control system, the altitude controller involves the combination of Bang-Bang control and the sliding mode technique to generate the command which accommodates the constraint on the angle of attack. The atmosphere density model is taken into account, which makes the proposed method more adaptable to the altitude variation. The effectiveness of the proposed control method is evaluated in the simulations.

Highlights

  • The scramjet-powered air-breathing hypersonic vehicles (AHVs), which can provide routine and affordable space access and high-speed civilian transportation, are the most promising alternative to the rocket-based transfer vehicles

  • THE RAPID ALTITUDE TRACKING This study focuses on investigating a rapid altitude tracking strategy that limits the angle of attack (AoA) to avoid inlet unstart

  • To help protect AHVs from inlet unstart, the AoA is enforced in an acceptable region

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Summary

INTRODUCTION

The scramjet-powered air-breathing hypersonic vehicles (AHVs), which can provide routine and affordable space access and high-speed civilian transportation, are the most promising alternative to the rocket-based transfer vehicles. The control system design for AHVs is challenging work, due to the severe nonlinear dynamics, the couple between the aerodynamics and propulsion, and the sensitivity to variations of the environment. It has received much attention in both modeling and control synthesis. The work in [19] proposed a funnel controller based on the adaptive neural network backstepping method to tackle the non-affine dynamics of the AHV model. For the inner-loop of the control proposed scheme, the FPA backstepping controller with parameters adaptive technique is developed for the AHV subject to parameter uncertainties.

THE LONGITUDINAL MODEL OF AHV
BANG-BANG SLIDING MODE CONTROLLER DESIGN AND STABILITY ANALYSIS
SIMULATIONS
CONCLUSION
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