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Model-based online estimation of interaction force in beating heart robotic-assisted surgery

机译:基于模型的在心脏机器人辅助手术中相互作用的在线估算

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This paper presents an extended three dimensional, active, viscoelastic, inhomogeneous, and anisotropic interaction model of beating heart to be employed in force control, impedance control, and teleportation with haptic feedback. Unlike many existing models, no unrealistic assumptions such as elastic, isotropic, homogeneous, and ignoring shear strain are imposed on the presented model. To overcome complexities due to the inhomogeneous property of heart tissue, and significant uncertainty in the model parameters, a continuous adaptive robust estimator is developed to estimate beating heart force under online situation. Moreover, the continuous nonlinear gains utilized in the estimator, no chattering appears in practical applications. In addition, Lyapunov function is used to ensure uniformly ultimately bounded (UUB) stability. Furthermore, simulations are performed in the analysis and evaluation of the proposed estimator. Finally, it is shown that the developed model well-agrees with the experimental data extracted from available vivo samples.
机译:本文呈现延长的三维,活性,粘弹性,不均匀,各向异性相互作用的跳动,抗冲击,阻抗控制和传送触觉反馈。与许多现有模型不同,没有不切实际的假设,例如弹性,各向同性,均匀和忽略剪切应变施加在所呈现的模型上。为了克服由于心脏组织的不均匀性,以及模型参数的显着不确定性而克服了复杂性,开发了一种连续的自适应稳健估计器以估计在线情况下的心力。此外,在估算器中使用的连续非线性增益,在实际应用中出现抖动。此外,Lyapunov功能用于确保均匀最终有界(UUB)稳定性。此外,在提出的估计器的分析和评估中进行模拟。最后,显示开发的模型很好地同意从可用体内样品中提取的实验数据。

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