1. 山东大学 机械工程学院,济南,250061
2. 高效洁净机械制造教育部重点实验室(山东大学),济南,250061
3. 山东大学 控制科学与工程学院,济南,250061
4. 智能无人系统教育部工程研究中心(山东大学)济南,250061
王得晨(1995—),男,硕士研究生
纸质出版:2021
移动端阅览
王得晨, 杜付鑫, 屈梁成, 等. 一种位姿解耦的主操作手结构设计与优化方法[J]. 哈尔滨工业大学学报, 2021,53(7):27-35.
WANG Dechen, DU Fuxin, QU Liangcheng, et al. Mechanism design and optimization of a position-posture decoupling master manipulator[J]. 2021, 53(7): 27-35.
王得晨, 杜付鑫, 屈梁成, 等. 一种位姿解耦的主操作手结构设计与优化方法[J]. 哈尔滨工业大学学报, 2021,53(7):27-35. DOI: 10.11918/202007140.
WANG Dechen, DU Fuxin, QU Liangcheng, et al. Mechanism design and optimization of a position-posture decoupling master manipulator[J]. 2021, 53(7): 27-35. DOI: 10.11918/202007140.
为提高医生对微创手术机器人主操作手进行操作时的一致性和灵活性
设计一种8关节串联型力反馈主操作手。从位姿解耦角度出发
通过一种双平行四边形结构实现位姿解耦
提高了主操作手在不同位姿下操作的一致性。利用改进后的D-H参数法和逆变换法
分别建立主操作手的正运动学和逆运动学模型
并从运动学角度验证了该位姿解耦策略的正确性。基于蒙特卡洛法
使用MATLAB编程
分析主操作手的最小工作空间。求解主操作手的雅可比矩阵
基于全域性能指标和全域性能波动指标定义了主操作手的综合运动性能指标
并以最小工作空间作为约束
用遗传算法对主操作手的运动性能和结构尺寸进行了分析与优化。结果表明:相比于优化前的初始设计
优化后主操作手的综合运动性能指标提高了15.32%
尤其是具备良好运动性能的工作空间体积增加到原来的3倍
已基本包含手术要求工作区域。主操作手在保证操作一致性和足够工作空间的基础上
具备了良好且稳定的运动性能。
To improve the consistency and flexibility of master manipulator in minimally invasive surgery
an 8-joint series force feedback master manipulator was designed. From the perspective of position-posture decoupling
this design realized position-posture decoupling through a double parallelogram structure
which improved the consistency of operation in different positions and postures. Using the modified D-H parameter method and inverse transformation method
the forward and inverse kinematics of the master manipulator were solved respectively
and the position-posture decoupling strategy was verified from the perspective of kinematics. Based on Monte Carlo method
the minimum working space of the master manipulator was analyzed by MATLAB programming. Then the Jacobi matrix of the master manipulator was solved. Based on the global conditioning index and global conditioning mean square error index
the comprehensive motion performance index of the master manipulator was defined. Taking the minimum working space as a constraint
the motion performance and structure size of the master manipulator were analyzed and optimized through genetic algorithm. The optimization results show that
compared with the initial design
the comprehensive performance index of the master manipulator is improved by 15.32%
and especially the workspace volume with good motion performance is increased to 3 times of the original
which basically includes the operation required work area. On the basis of ensuring the consistency of operation and enough working space
the master manipulator has good and stable motion performance.
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