Optimized Guidance Methods for Smooth Transitions in UAS Path Following

Thomas Le Pichon, S. Keshmiri
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Abstract

Many traditional guidance algorithms for Unmanned Aerial Systems will command maneuvers that may be over-aggressive in sharp turns or large errors, especially in the longitudinal frame which can result in stall. To prevent this, more gradually increasing or steady ascent/descent/turn rates should be commanded. In longitudinal, a guidance law is developed using aircraft dynamics that both keeps trim conditions salient while also tightly constraining ascent/descent rates, which can then be optimized through the linear quadratic regulator technique. Furthermore, this base guidance is decoupled from initial conditions. In lateral, a curvature path planning navigation is introduced to eliminate step input controls in turns. Results show that the aircraft can track the path as well as traditional algorithms, while also producing more reasonable reactions to lateral and longitudinal errors.
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无人机路径跟踪中平滑过渡的优化制导方法
许多传统的无人机制导算法在急转弯或大误差时可能会指挥过于激进的机动,特别是在纵向框架中可能导致失速。为了防止这种情况发生,应该控制更逐渐增加或稳定的上升/下降/转弯速度。在纵向上,利用飞机动力学开发了一种制导律,该律既保持了纵倾条件的显著性,又严格限制了上升/下降率,然后可以通过线性二次型调节器技术进行优化。此外,该基本制导与初始条件解耦。在横向,引入曲率路径规划导航,以消除阶跃输入控制。结果表明,该方法不仅可以实现与传统算法一样的路径跟踪,而且对横向和纵向误差的响应也更加合理。
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