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.
In order to verify the validity and reliability of the algorithm, the vibration trajectory of Hippophae rhamnoides branches was analyzed by the method of variance analysis.