Malas Dionysios, Wang Shuai, Huang Wei, Lindenroth Lukas, Xia Wenfeng, Liu Hongbin
Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London (KCL), London, UK.
Centre for Artificial Intelligence and Robotics (CAIR) Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences (CAS), Hong Kong, Hong Kong.
Soft Robot. 2025 Aug;12(4):423-435. doi: 10.1089/soro.2024.0094. Epub 2024 Dec 26.
Modern industrial and medical applications require soft actuators with practical actuation methods, capable of precision control and high-speed performance. Within the realm of medical robotics, precision and speed imply less complications and reduced operational times. Soft fluidic actuators (SFAs) are promising candidates to replace the current rigid endoscopes due to their mechanical compliance, which offers safer human-robot interaction. However, the most common techniques used to operate SFAs, pneumatics, and hydraulics present limitations that affect their performance. To reduce manufacturing complexity, enhance response time, improve control precision, and augment the usability of SFAs, we propose a Pneudraulic Actuation (PHA) system that, for the first time, combines a pneumatic and hydraulic circuit in series. To examine this proposal, a comparative assessment of the proposed actuation technique with the common techniques was carried out, in terms of bending performance and generation of audible noise level during functioning. The analysis provides insights into the performance of various fluidic actuation methods for SFAs, highlighting significant effects related to fluid-structure interactions and the presence of trapped air. Thereafter, a comparative assessment of different fluidic circuits is performed, illustrating how tubing length, inner and outer diameter, as well as the amount of different fluidic medium impact the dynamic behavior of the system, amplifying the importance of fluid mechanics for design optimization. Furthermore, we propose a model-based control strategy that solely focuses on fluid dynamics, utilizing the hydraulic-electric analogy and the resistor-inductor-capacitor circuit theory. Our PID controller improved actuation speed by 52.63% and reduced audible noise by 17.17%.
现代工业和医疗应用需要具备实用驱动方法的软驱动器,能够实现精确控制和高速性能。在医疗机器人领域,精度和速度意味着并发症减少和手术时间缩短。软流体驱动器(SFA)因其机械柔顺性有望取代当前的刚性内窥镜,这提供了更安全的人机交互。然而,用于操作SFA的最常见技术,即气动和液压技术存在影响其性能的局限性。为了降低制造复杂性、提高响应时间、改善控制精度并增强SFA的可用性,我们提出了一种气液驱动(PHA)系统,该系统首次将气动和液压回路串联。为了检验这一方案,对所提出的驱动技术与常见技术进行了比较评估,涉及弯曲性能和运行期间可听噪声水平的产生。该分析深入了解了SFA的各种流体驱动方法的性能,突出了与流固相互作用和滞留空气存在相关的显著影响。此后,对不同的流体回路进行了比较评估,说明了管道长度、内径和外径以及不同流体介质的量如何影响系统的动态行为,凸显了流体力学对设计优化的重要性。此外,我们提出了一种基于模型的控制策略,该策略仅关注流体动力学,利用液压 - 电气类比和电阻 - 电感 - 电容电路理论。我们的PID控制器将驱动速度提高了52.63%,并将可听噪声降低了17.17%。