CAJ | 학술논문

针对电路板的焊点检测路径优化问题，提出一种改进的粒子群优化算法。在粒子进化过程中，根据时间函数的变化，调整粒子进化参数组合。在焊点空间路径规划过程中，将最小时间函数作为移动准则。在当前焊点检测点，建立路径规划时间函数，利用改进粒子群算法求取时间函数最小点，作为下一路径点，从而逐步得到焊点移动路径。仿真结果表明，利用所提方法可以规划出一条有效最优路径，进行完成焊点路径规划任务。同时实验结果表明，相对于其他粒子群算法，该算法具有较好的收敛精度，且收敛速度可控。
침대전로판적한점검측로경우화문제，제출일충개진적입자군우화산법。재입자진화과정중，근거시간함수적변화，조정입자진화삼수조합。재한점공간로경규화과정중，장최소시간함수작위이동준칙。재당전한점검측점，건립로경규화시간함수，이용개진입자군산법구취시간함수최소점，작위하일로경점，종이축보득도한점이동로경。방진결과표명，이용소제방법가이규화출일조유효최우로경，진행완성한점로경규화임무。동시실험결과표명，상대우기타입자군산법，해산법구유교호적수렴정도，차수렴속도가공。
Aiming at the purpose of path planning for welding spot, a novel particle swarm optimization algorithm was proposed, which adjusted the parameter combination in the process of particle evolution according to the change of the time function. During the process of path planning the minimum time was taken as movement criterion. At the current path point, a path planning time function was established. By using the novel particle swarm algorithm, the minimum point of the time function was attended and taken as the next path point, thus acquiring the path for the welding spot step by step. The simulation results showed that an effec-tive path was planned by applying the proposed method, which could fulfill the task of welding spot. Finally the theoretical analy-sis results were verified with simulations, and it was shown that the new algorithm had better convergence accuracy and controlled speed compared to other PSO algorithms.