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<p>To increase the glide range of a Subsonic Unpowered Stand-off Vehicle (SUSV) when encountering a halting constraint, a longitudinal dynamic model is taken into consideration. To achieve damping and nose alignment in the early stages of glide flight, an exponential Control Vector Parametrization (CVP) approach is employed, in which low spacing is introduced at the start of the time vector and large spacing happens near the end of the time vector, and this approach is only dependent on the exponential spacing factor, number of nodes, and maximum gliding flight time. Additionally, a comparison is made with the hp-adaptive Gaussian quadrature collocation-based GPOPS to advocate the superiority of the exponential CVP approach. The proposed CVP approach, based on MATLAB, is embedded with the DS Simulia Isight tool, which utilizes sequential quadratic programming to achieve the maximum glide range of SUSV. Both optimal approaches adhere to the short-period mode constraint, using altitude as a halting constraint within a maximum gliding flight time of 850 s. The exponential CVP scheme achieves the glide range of 336&#xa0;m, ensuring damping and nose alignment early in the glide flight phase within a stopping time of 814 s.</p>

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Optimal Gliding Flight of Subsonic Unpowered Stand-Off Vehicle

  • 期刊论文

  • 发表日期：

    2025年7月6日

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  • Ahmad Mahmood

摘要

To increase the glide range of a Subsonic Unpowered Stand-off Vehicle (SUSV) when encountering a halting constraint, a longitudinal dynamic model is taken into consideration. To achieve damping and nose alignment in the early stages of glide flight, an exponential Control Vector Parametrization (CVP) approach is employed, in which low spacing is introduced at the start of the time vector and large spacing happens near the end of the time vector, and this approach is only dependent on the exponential spacing factor, number of nodes, and maximum gliding flight time. Additionally, a comparison is made with the hp-adaptive Gaussian quadrature collocation-based GPOPS to advocate the superiority of the exponential CVP approach. The proposed CVP approach, based on MATLAB, is embedded with the DS Simulia Isight tool, which utilizes sequential quadratic programming to achieve the maximum glide range of SUSV. Both optimal approaches adhere to the short-period mode constraint, using altitude as a halting constraint within a maximum gliding flight time of 850 s. The exponential CVP scheme achieves the glide range of 336 m, ensuring damping and nose alignment early in the glide flight phase within a stopping time of 814 s.