摘要
以位置方程为基础,采用速度雅克比矩阵判断位置模型耦合度,并根据耦合度判断位置正解的难易程度,从而为求解方法的选择提供依据。针对强耦合位置模型具有普遍性且求解困难这一问题,以6-PRRS并联机构为研究对象,运用粒子群优化(PSO)算法进行位置正解计算,实例计算结果与实际位姿吻合,说明该方法有效且可行。
Based on the equation of position, the velocity Jacobin matrix is used to estimate the coupling coefficient of location equation on the basis of which the difficulty level of forward position analysis is judged, whereby providing the basis for the selection of method of forward position analysis. With an aim at the strong coupling of location equation with universality and difficulty to solve as well as with 6-PRRS parallel manipulator as the research objective, the particle swarm optimization (PSO) algorithm is used to carry out the forward position analysis calculation. The results from actual example calculation are found to be in coincidence with actual position and orientation, whereby indicating that the approach in this paper is effective and feasible.
出处
《西安理工大学学报》
CAS
北大核心
2010年第3期277-281,共5页
Journal of Xi'an University of Technology
基金
陕西高校省级重点实验室科研基金资助项目(2010JS080)
关键词
并联机构
位置正解
智能计算
parallel manipulator
forward position analysis
intelligent computing