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Control Tuning of a Heart Motion Tracking System in Off-pump Heart Surgery

机译:非体外循环心脏手术中心脏运动跟踪系统的控制调整

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Design, implementation and experimental evaluation of a classic PID, and a modern Generalized Predictive Control (GPC) for an off-pump heart tracking system were carried out. Following the design and simulation analysis of the controllers, experimental evaluation was conducted on the slave robot of SINA tele-operational surgical system. Results revealed that considering the volatile high-frequency/speed pattern of heart motion, the agility of the controlled system is the most influential factor on its performance. With this in mind, unlike the Ziegler-Nichols-based tuned PID with emphasis on steady-state condition, the PID control with more transient behavior showed a superior performance. The same rule holds for GPC tuning. Furthermore, the GPC demonstrated a better performance compared to the PID, thanks to its predictive characteristic; mainly if the “Look-Ahead” feature of the GPC control is provided with the utmost correct data of future heart motion. In this case, the RMS of tracking error reached to 0.236 mm and showed 61% enhancement in tracking performance. Analysis in time/frequency-domain modeling also proved that the real-time GPC control benefits highly from simpler models due to less computational burden.
机译:进行了经典PID的设计,实现和实验评估,以及用于体外泵心脏跟踪系统的现代广义预测控制(GPC)。通过对控制器的设计和仿真分析,对新浪远程手术外科系统的从属机器人进行了实验评估。结果表明,考虑到心脏运动的易变的高频/速度模式,受控系统的敏捷性是对其性能影响最大的因素。考虑到这一点,与强调稳定状态的基于Ziegler-Nichols的PID调整PID不同,具有更多瞬态行为的PID控制表现出优异的性能。相同的规则适用于GPC调整。此外,由于其预测特性,与PID相比,GPC表现出更好的性能。主要是如果GPC控件的“预示”功能提供了未来心脏运动的最大正确数据。在这种情况下,跟踪误差的RMS达到0.236 mm,并且跟踪性能提高了61%。时域/频域建模分析还证明,由于计算量较小,因此实时GPC控制得益于更简单的模型。

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