Fei Lu, Weishan Chen, Jie Deng, Shijing Zhang, Yingxiang Liu
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引用次数: 0
Abstract
Multi-effector micro-manipulator (MEMM) systems are favored for transporting and manipulating targets due to their multiple degrees of freedom (multi-DOF) operation capabilities. However, the complex structure adopted to achieve multi-DOF operation capabilities poses a great challenge to the improvement of the MEMM performance, especially the speed and precision. In this study, a multi-DOF piezo-array embedded four-effector manipulator is used to investigate the influence of multi-effector and the complex structure on the performance of the MEMM. A predictive digital model is introduced to analyze the output characteristics of the MEMM and evaluate the effects of different compensation methods. Both model predictions and experimental results show that the low-order modal coupling of the complex structure significantly affects the output characteristics of the MEMM and induces residual and coupled vibrations. The proposed embedded internal model compensation (EIMC) method, which utilizes the predictive capabilities of the digital model and the embedded computing capabilities of the embedded system, effectively reduces the residual and coupled vibrations of the MEMM (typical efficiency 74.4%∼85.8%), and ultimately achieves an average convergence time of 0.0005 s and a precision of ±0.06 μm. Compared with ramp compensation (RC) method and PID control, the EIMC method improves the speed performance of the MEMM by more than 70% and the precision performance by more than 50%. These findings are expected to mitigate vibration problems in rapid-positioning, potentially expanding MEMM applications in medical sample processing, optical focusing and image scanning.
期刊介绍:
The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering.
The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture).
Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content.
In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.