Standard study data

SSADMO algorithm is proposed to study the optimal spatial trajectories of sea buckthorn fruit vibration separation. In this study, kinematics interpolation analysis of manipulator trajectories was carried out to compare the trajectories of cubic polynomials and quintic polynomial interpolation, and to compare the trajectories and attitudes of the manipulators under the condition of limited operating range and speed, in this paper, we propose a new SSADMO algorithm which combines the advantages of SSA and DMO optimization algorithms in the 3-5-3 polynomial interpolation. The simulation results show that the optimal trajectory time of SSADMO algorithm is 0.684 s, which is 39.1% higher than the original 1.123 S. the orthogonal experiment data show that the average fruit injury rate of Hippophae rhamnoides L. is only 5.63%, it shows that SSADMO algorithm is feasible, reliable and effective in optimizing time locus.

本研究提出了SSADMO算法以探讨沙棘果振动分离的最佳空间轨迹。本研究对操作臂轨迹的动力学插值分析进行了实施，旨在比较三次多项式和五次多项式插值的轨迹，并对比在受限的操作范围和速度条件下操作臂的轨迹与姿态。在本文中，我们提出了一种新的SSADMO算法，该算法结合了SSA和DMO优化算法在3-5-3多项式插值中的优势。仿真结果表明，SSADMO算法的最佳轨迹时间为0.684秒，相较于原始的1.123秒提升了39.1%。正交实验数据表明，Hippophae rhamnoides L.的平均果实损伤率仅为5.63%，这表明SSADMO算法在优化时间轨迹方面具有可行性、可靠性和有效性。