基于差分平坦度改进的勒让德伪谱法的无人机路径规划

Zhang Siyu, Yu Jianqiao, Sun Huadong
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引用次数: 2

摘要

提出了一种基于微分平坦度理论的Legendre伪谱组合算法,将无人机路径规划问题转化为最优控制问题。建立了飞行器的运动学状态方程,并以该方程为约束条件,以最短飞行时间为代价,建立了飞行器的最优控制问题。利用微分平面度可以对运动状态方程进行转换,即利用平面度输出简化最优控制问题的控制变量和约束。然后用勒让德伪谱法求解简化后的最优控制问题。将所提出的组合算法与Legendre伪谱法进行了比较,并通过Matlab仿真验证了该算法在保证精度的前提下,可以减少约60%的计算时间。结果证明了该算法具有较高的工程价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV path planning via Legendre pseudospectral method improved by differential flatness
A Legendre pseudo spectral combination algorithm introduced by the theory of differential flatness is proposed, which transforms the unmanned aerial vehicles path planning problem into an optimal control problem. The vehicles kinematics state equations are built, and the optimal control problem which uses the equations as constraints and the shortest flight time as the cost is also built. By the differential flatness, the equations of motion state can be converted, that is the control variables and constraints of the optimal control problem can be simplified by the use of flatness output. Then optimal control problem after simplified can be solved through Legendre pseudo spectral method. The proposed combination algorithm has been compared with Legendre pseudo spectral method, and the simulation by Matlab is used to verify that the algorithm can reduce approximately 60% computation time with ensuring accuracy. The result has proved the high engineering value of the proposed algorithm.
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