Design and posture adjustment optimization of a multi-dimensional vibration casting sorting platform based on an improved PSO algorithm
LI Kangkang
WANG Zhihui
ZHU Zihao
WANG Chengjun
YIN Haoyu
ZHENG Yan
Abstract：[Objective]To address the issues of limited degrees of freedom and insufficient accuracy in traditional casting sorting platforms,a multi-dimensional vibration posture adjustment platform and an associated optimization algorithm are proposed.[Methods]Firstly,an innovative toggle mechanism and a multi-dimensional vibration excitation module were developed to achieve flexible posture adjustment.Secondly,an improved particle swarm optimization(IMPSO)algorithm was proposed,incorporating adaptive interference forces and dynamic weight adjustment to enhance global search capabilities.Then,a fitness fuction targeting position and posture deviations was established,comparative simulations between IMPSO,particle swarm optimization(PSO),genetic algorithm-particle swarm optimization(GA-PSO),and chaotic particle swarm optimization(CPSO)were performed using Matlab.Finally,a physical prototype was constructed to verify the performance through experimental tests.[Results]The results show that the IMPSO algorithm improves the convergence speed by 10%to 27%compared with other algorithms.Prototype tests demonstrate that the maximum position and orientation deviations are controlled within 0.35 cm and 0.25°,respectively.This study provides a theoretical and technical reference for high-precision flexible sorting in complex industrial scenarios.
Keywords：Multi-dimensional vibrationToggle mechanismAdaptive weightPose adjustmentSorting
Publication Date：2026-03-15
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：9( 68-76 )