• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (15): 441-452.doi: 10.3901/JME.2025.15.441

• 人机协作装配与调度 • 上一篇    

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面向飞机驾驶舱面板操纵引导的多指动态位姿追踪与操作空间映射方法

申慧敏1, 丁金涛1, 沈梦若2, 雷勇2   

  1. 1. 上海理工大学机械工程学院 上海 200093;
    2. 浙江大学流体动力基础件与机电系统全国重点实验室 杭州 310027
  • 收稿日期:2024-10-08 修回日期:2025-03-03 发布日期:2025-09-28
  • 作者简介:申慧敏(通信作者),女,1987年出生,博士,副教授。主要研究方向为人-机交互技术及电磁检测技术。E-mail:hmshen@usst.edu.cn;丁金涛,男,2000年出生,硕士研究生。主要研究方向为人-机交互技术及电磁检测技术。E-mail:233381667@st.usst.edu.cn;沈梦若,女,2000年出生,博士研究生。主要研究方向为软组织交互形变建模与计算、手术导航系统。E-mail:shenmr@zju.edu.cn;雷勇,男,1976年出生,博士,教授。主要研究方向为软组织交互形变建模与计算、手术导航系统。E-mail:ylei@zju.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(52175055)。

Multi-finger Dynamic Position Tracking and Operation Space Mapping Method for Aircraft Cockpit Panel Maneuver Guidance

SHEN Huimin1, DING Jintao1, SHEN Mengruo2, LEI Yong2   

  1. 1. School of Mechanical Engineering, Shanghai University of Technology, Shanghai 200093;
    2. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027
  • Received:2024-10-08 Revised:2025-03-03 Published:2025-09-28

摘要: 随着工业5.0时代的到来,智能制造对人机协同提出了更高的要求。特别是在飞机总装测试过程中,驾驶舱面板的操作极为复杂,操作员需根据测试要求准确操作数百个按键和旋钮,极易因误操作而影响测试效率和飞机安全性。为解决该问题,提出一种基于磁-惯性传感信息融合的多指动态位姿追踪与操作空间映射方法。基于手部指骨生理约束,建立工作手指的D-H运动学模型;利用结构化磁场标记技术获取手部的基坐标空间位姿信息;通过磁-惯性传感信息融合,结合手指运动学模型和空间映射方法,实现作业指尖运动向操纵面板空间映射,可用于操作识别和判定。面向模拟操作面板开展了应用试验,包括按键顺序操作和旋钮操作识别,结果显示按键操作指尖平均定位误差±方差分布在[1.64, 3.73]±[0.44, 0.82] mm,旋钮旋转操作转角识别平均误差±方差分布在[2.11, 2.42]±[0.71, 1.00]°。验证所提出方法应用于驾驶舱面板精细操纵的有效性和适用性。

关键词: 磁-惯性传感信息融合, 手部运动学模型, 操作空间映射, 飞机驾驶舱面板

Abstract: The emergence of the Industry 5.0 era has raised the demands for enhanced human-machine collaboration, particularly in the aircraft final assembly and testing process. Operating cockpit panels is highly intricate, requiring operators to accurately manipulate hundreds of buttons and knobs based on test protocols. These complex tasks increase the risk of errors, potentially compromising testing efficiency and flight safety. To address this challenge, a novel method integrating magnetic-inertial sensor data fusion is proposed for multi-finger dynamic posture tracking and operational space mapping. This approach establishes a D-H kinematic model for working fingers based on physiological constraints of finger bones. Structured magnetic field markers are utilized to capture the spatial pose of the hand’s base coordinates. By combining magnetic-inertial sensor data with the kinematic model and spatial mapping techniques, the method enables precise mapping of fingertip movements to the operational panel space, facilitating accurate operation recognition and assessment. Validation tests are conducted on an emulated panel, covering sequential button operations and knob rotation recognition. The results indicate that the average positioning error ±variance for button operations ranges from [1.64, 3.73] ±[0.44, 0.82] mm, while the average angular error ±variance for knob operations falls within [2.11, 2.42] ±[0.71, 1.00] °. These outcomes confirm the method’s effectiveness and suitability for fine-grained cockpit panel manipulations.

Key words: magneto-inertial sensing information fusion, hand kinematics modeling, operational space mapping, aircraft cockpit panels

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