Abstract

A nonlinear constrained controller is designed for a reusable launch vehicle during re-entry phase in the presence of model uncertainty, external disturbance, and input constraint, via combining sliding mode control and adaptive backstepping control. Since the complex coupling between the translational and rotational dynamics of reusable launch vehicle, a control-oriented model derived from rotational dynamic is used for controller design. During the virtual control input design procedure, a dynamic robust term is utilized to compensate for the uncertainty. In addition, a filter is applied to handle “explosion of terms” problem during the actual control input design. To reduce the computational burden, adaptive law is used to evaluate the unknown norm bound of the lumped uncertainty. An auxiliary system is constructed to compensate for the input constraint effect. The stability of the closed-loop system is analyzed based on Lyapunov theory. Simulation results demonstrate the validity of the developed controller in providing stable tracking of the guidance command by numerical simulation on the 6-degree-of-freedom model of reusable launch vehicle.

Highlights

  • Reusable launch vehicle (RLV) is designed to dramatically reduce the cost of accessing space by recovering and reusing after each mission

  • A robust adaptive dynamic surface control strategy was investigated for a hypersonic vehicles (HSVs) with parametric model uncertainty and input saturation

  • They demonstrate that angle of attack (AOA), sideslip angle, and bank angle achieve the stable tracking of their respective guidance command despite input constraint, model uncertainty, and external disturbance

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Summary

Introduction

Reusable launch vehicle (RLV) is designed to dramatically reduce the cost of accessing space by recovering and reusing after each mission. An adaptive backstepping attitude control scheme was developed for RLV in re-entry phase subjects to external disturbance and input constraint.[16] An adaptive dynamic surface control strategy was designed for a HSV with actuator signals’ magnitude, rate, and bandwidth constraints.[17] to improve the tracking performance of designed controller and avoid a large initial control signal, an integral term was used at the level of dynamic surface control design.[18] a robust adaptive dynamic surface control strategy was investigated for a HSV with parametric model uncertainty and input saturation. The motivation of this article is to propose an attitude controller to achieve that a RLV in re-entry phase will be driven to track the guidance command under input constraint, model uncertainty, and external disturbance. Translational motion is referenced to a flight-path coordinate system, and it is caused by the forces that act on the vehicle It is used for generating trajectory and designing guidance law.

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Conclusion
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