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The Study of Path Planning of Welding Manipulator Based on Improved QPSO

机译：基于改进QPSO的焊接机械手路径规划研究

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摘要

The welding path planning of manipulator is one of the key issues to improve efficiency in the industry. In allusion to the defects of particle swarm algorithm, enlightened by quantum mechanics, the quantum particle swarm algorithm is presented in this paper, expanding the search range of particles and retaining the good operability of particle swarm algorithm. Based on features of welding manipulator path planning, the welding spots passed by particles are weight-coded and the combination optimization problem is made continuous. Finally, an optimal welding path for the manipulator is worked out by using this algorithm.
机译：操纵器的焊接路径规划是提高行业效率的关键问题之一。在典型的粒子群算法的缺陷中，通过量子力学启动，在本文中提出了量子粒子群算法，扩展了粒子的搜索范围并保持了粒子群算法的良好可操作性。基于焊接机械手路径规划的特征，通过粒子通过的焊接斑点是重量编码，并且形成组合优化问题。最后，通过使用该算法来研究机械手的最佳焊接路径。

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