摘要
针对手术机器人微器械的力检测问题,搭建了3自由度微器械的等效实验平台.基于柔索驱动微器械关节完整的动力学模型设计了驱动关节综合阻力模型,并根据实验结果进行了BP(反向传播)神经网络模型的数据拟合,给出综合阻力神经网络模型.最后根据驱动单元综合阻力的变化提出了一种夹持力估计策略,并通过连续加载和阶梯加载实验验证了夹持力检测方法的性能.实验结果显示,夹持力检测的最大绝对误差可以达到0.24N,在稳定阶段夹持力检测的精度可以达到90%左右.该方法可以成为实现手术机器人微器械力反馈的基础.
An equivalent experimental platform for a 3 DOF(degree of freedom) micromanipulator is established to solve the force sensing problem for surgical robot micromanipulator. A comprehensive resistance model of the driven joint unit is designed based on the complete dynamic models of the cable-driven micromanipulator joints, and the comprehensive resistance neural network model is obtained through data fitting of the experimental results based on BP(backpropagation)neural network model. Finally, a clamping force estimation strategy is proposed based on the comprehensive resistance changes of the driven unit, and its performance is verified by the experiments of continuous and stepped clamping force loading. The experiment results show that the maximum absolute error is 0.24 N in clamping force measurement, and the accuracy can reach up to 90% in stable period. The method lays the foundation for realizing force feedback of the surgical robot micromanipulator.
出处
《机器人》
EI
CSCD
北大核心
2018年第3期368-376,共9页
Robot
基金
国家自然科学基金(61203358/F0306)
黑龙江省自然科学基金(F2015034)
中央高校基本科研业务费专项资金(HEUCFM170703)
关键词
力检测
柔索驱动
微器械
夹持力
手术机器人
force sensing
cable-driven
micromanipulator
clamping force
surgical robot
