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

机译:泵心外科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,实施和实验评价,以及用于泵心脏跟踪系统的现代广义预测控制(GPC)。在控制器的设计和仿真分析之后,在新浪远程运营外科系统的奴隶机器人上进行了实验评估。结果表明,考虑到挥发性高频/速度模式的心动,受控系统的敏捷性是其性能最具影响力的因素。考虑到这一点,与基于Ziegler-Nichols的调谐PID在强调稳态条件下不同,PID控制具有更多瞬态行为显示出卓越的性能。相同的规则适用于GPC调整。此外,由于其预测性特征,GPC与PID相比表现出更好的性能;主要是提供GPC控件的“展望”特征,提供了未来心动的最大正确数据。在这种情况下,跟踪误差的RMS达到0.236mm,并在跟踪性能方面显示了61%的增强。时间/频率域建模的分析还证明,由于计算负担较少,实时GPC控制效益高度从更简单的模型。

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