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用于节能智能康复系统的自适应数字孪生与多电平逆变器控制集成

Adaptive digital twin integration with multilevel inverter control for energy efficient smart rehabilitation systems.

作者信息

Rashid Sara Mahmoudi, Ghiasi Amir Rikhtehgar

机构信息

Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.

出版信息

Sci Rep. 2025 Mar 12;15(1):8511. doi: 10.1038/s41598-025-92931-8.

Abstract

This research proposes an innovative framework integrating adaptive Digital Twin (DT) models with Multi-Level Inverter (MLI) control to improve energy efficiency in advanced rehabilitation systems. By utilizing real-time monitoring and adaptive adjustment of power parameters through DT technology, the method achieves precise and dynamic control of devices such as prosthetics and exoskeletons. The incorporation of MLI ensures smooth and efficient power delivery, reducing harmonic distortion and enhancing overall energy utilization. Key outcomes include a 14.05% increase in energy efficiency, an 8.12% decrease in power ripple, and a 24.03% improvement in system response accuracy, enabling real-time optimization tailored to patient-specific rehabilitation needs. Furthermore, the proposed approach lowers operational costs by 7.01% through optimized energy usage and extended system lifespan. These results highlight the potential of this innovative method to advance rehabilitation systems through the integration of adaptive control and real-time digital modeling.

摘要

本研究提出了一种创新框架,将自适应数字孪生(DT)模型与多电平逆变器(MLI)控制相结合,以提高先进康复系统的能源效率。通过利用DT技术对功率参数进行实时监测和自适应调整,该方法实现了对假肢和外骨骼等设备的精确动态控制。MLI的加入确保了电力的平稳高效传输,减少了谐波失真,提高了整体能源利用率。主要成果包括能源效率提高14.05%,功率纹波降低8.12%,系统响应精度提高24.03%,能够根据患者特定的康复需求进行实时优化。此外,所提出的方法通过优化能源使用和延长系统寿命,将运营成本降低了7.01%。这些结果凸显了这种创新方法通过集成自适应控制和实时数字建模推进康复系统的潜力。

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