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Optimal Path-Following Guidance with Generalized Weighting Functions Based on Indirect Gauss Pseudospectral Method

机译:间接高斯伪谱法的广义加权最优路径跟踪制导

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An indirect Gauss pseudospectral method based path-following guidance law is presented in this paper. A virtual target moving along the desired path with explicitly specified speed is introduced to formulate the guidance problem. By establishing a virtual target-fixed coordinate system, the path-following guidance is transformed into a terminal guidance with impact angle constraints, which is then solved by using indirect Gauss pseudospectral method. Meanwhile, the acceleration dynamics are modeled as the first-order lag to the command. Using the receding horizon technique a closed-loop guidance law, which considers generalized weighting functions (even discontinuous) of both the states and the control cost, is derived. The accuracy and effectiveness of the proposed guidance law are validated by numerical comparisons. A STM32 Nucleo board based on the ARM Cortex-M7 processor is used to evaluate the real-time computational performance of the proposed indirect Gauss pseudospectral method. Simulations for various types of desired paths are presented to show that the proposed guidance law has better performance when compared with the existing results for pure pursuit, a nonlinear guidance law, and trajectory shaping path-following guidance and provides more degrees of freedom in path-following guidance design applications.
机译:提出了一种基于间接高斯伪谱法的路径跟踪制导律。引入以明确指定的速度沿期望路径移动的虚拟目标,以制定制导问题。通过建立虚拟的目标固定坐标系,将路径跟随的引导转换为具有冲击角约束的终端引导,然后使用间接高斯伪谱方法进行求解。同时,加速度动力学建模为命令的一阶滞后。使用后退地平线技术,得出了一种闭环制导律,该律考虑了状态和控制成本的广义加权函数(甚至是不连续的)。通过数值比较验证了所提出的制导律的准确性和有效性。基于ARM Cortex-M7处理器的STM32 Nucleo板用于评估所提出的间接高斯伪谱方法的实时计算性能。仿真结果表明,与纯跟踪,非线性制导律和轨迹成形路径跟踪制导的现有结果相比,拟议的制导律与现有结果相比具有更好的性能,并提供了更大的自由度。遵循指导设计应用。

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