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Research on UAV Online Trajectory Planning Algorithm Based on C/FD-GMRES Method

机译:基于C / FD-GMRES方法的UAV在线轨迹规划算法研究

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In order to ensure that the UAV online route planning results meet the terminal constraints of the task, a rolling optimization algorithm based on C/FD-GMRES for UAV online route planning is designed. The C/FD-GMRES is a real-time nonlinear receding horizon control approach; combining the homotopy continuation method differential approximation generalized minimum residual method instead of solving complex Riccati differential equations. At each sampling time, the C/FD-GMRES calculate a residual vector linear equation once and the product of Jacobi matrix and vector product is approximated to the forward difference, the GMRES fast algorithm is used to solve large scale linear equations in the end. The C/FD-GMRES method has a good real-time performance, not sensitive to the selection of initial estimates, and can meet the need of UAV terminal state constraints. Simulation results show that the algorithm can effectively avoid barriers of space and the planned trajectory can converge to a stable terminal state, meeting the real-time requirements.
机译:为了确保UAV在线路线规划结果符合任务的终端约束,设计了一种基于C / FD-GMRES的UAV在线路线规划的滚动优化算法。 C / FD-GMRES是一个实时非线性后退地平线控制方法;组合同型延续方法差分近似广义最小残余方法,而不是求解复合Riccati差分方程。在每个采样时间,C / FD-GMRES计算一次残余矢量线性方程,并且Jacobi矩阵和向量产品的乘积近似于前向差异,GMRES快速算法用于终结到大规模线性方程。 C / FD-GMRES方法具有良好的实时性能,对初始估计的选择不敏感,并且可以满足UAV终端状态约束的需要。仿真结果表明,该算法可以有效地避免空间的障碍,并且计划的轨迹可以收敛到稳定的终端状态,满足实时要求。

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