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- W2898452141 abstract "Hypersonic glider designs often exhibit limited control authority and poor transversal stability. Furthermore, the methods used for aerodynamic performance estimation at high flight altitudes and hypersonic speeds are inevitably inaccurate and uncertain. Hypersonic Glider performance could be severely degraded by using traditional control and autopilot techniques that rely on an accurate knowledge of the aerodynamic coefficients. A new autopilot and control approach, presented in this paper, is based on recently developed special Higher Order Sliding Mode Control (HOSMC) algorithms that are mostly based on relative degrees but not on the glider’s mathematical model. Specifically, this autopilot and control approach includes robust continuous aerodynamic control augmented by impulsive reaction control thrusters. Control gain-adaptation allows addressing the vehicle bounded uncertainties and perturbations without overestimating the control gains. The impulsive augmentation of the continuous Higher Order Sliding Mode control provides almost instantaneous convergence thereby mitigating the risk of control loss caused by sideslip angle departures due to poor transversal stability and small lateral control authority. While Higher Order Sliding Mode control algorithms are inherently insensitive to the matched uncertainties and disturbances, the observers embedded in the Continuous Higher Order Sliding Mode Control algorithms reduce the time response of the control compensation. Simulation of a representative hypersonic glider executing normal and bank-to-turn maneuvers and controlled by the studied algorithms demonstrate excellent performance in the presence of significant model uncertainties and perturbations." @default.
- W2898452141 created "2018-11-02" @default.
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- W2898452141 date "2018-10-25" @default.
- W2898452141 modified "2023-09-26" @default.
- W2898452141 title "Hypersonic Glider Autopilot Using Adaptive Higher Order Sliding Mode Control with Impulsive Actions" @default.
- W2898452141 doi "https://doi.org/10.11648/j.ajae.20180502.12" @default.
- W2898452141 hasPublicationYear "2018" @default.
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