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汽车安全与节能学报 ›› 2025, Vol. 16 ›› Issue (2): 197-206.DOI: 10.3969/j.issn.1674-8484.2025.02.002

• 汽车安全 • 上一篇    下一篇

汽车驱动桥螺旋锥齿轮齿面测量误差补偿方法

刘永生1,2(), 谭佳敏1, 王瑞富1, 户盼茹2, 甘鑫斌1, 陈一馨1,*()   

  1. 1.长安大学 道路施工技术与装备教育部重点实验室,西安 710064,中国
    2.中航光电科技股份有限公司,洛阳 471003,中国
  • 收稿日期:2024-05-28 修回日期:2024-10-28 出版日期:2025-04-30 发布日期:2025-04-22
  • 通讯作者: * 陈一馨,副教授。E-mail:chenyx@chd.edu.cn
  • 作者简介:刘永生(1985—),男(汉),山东,副教授。E-mail:lysh@chd.edu.cn
  • 基金资助:
    陕西省自然科学基金项目(2022JM-295);陕西省自然科学基金项目(2022JQ-576)

Compensation method for tooth surface measurement error of spiral bevel gear of automotive drive axle

LIU Yongsheng1,2(), TAN Jiamin1, WANG Ruifu1, HU Panru2, GAN Xinbin1, CHEN Yixin1,*()   

  1. 1. Key Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, China
    2. AVIC JONHON Optronic Technology Co., LTD., Luoyang 471003, China.
  • Received:2024-05-28 Revised:2024-10-28 Online:2025-04-30 Published:2025-04-22

摘要:

提升汽车驱动桥螺旋锥齿轮齿面加工质量对整车的安全与节能性能有重要意义,该文针对汽车驱动桥螺旋锥齿轮实测和理论齿面存在的测量误差,提出了一种基于对偶四元数优化的迭代最近点(ICP)齿面测量误差补偿方法。将误差补偿问题转化为两曲面的配准问题,利用对偶四元数对齿面配准模型进行表示并得出误差矩阵,将误差矩阵线性化并使用凸松弛的全局优化算法对其实部进行优化,实现螺旋锥齿轮齿面的精确配准。结果表明:螺旋锥齿轮凹齿面的误差补偿率最高达77%,最大误差由补偿前的22.11 μm降至5.64 μm,平均误差由补偿前的10.34 μm降至2.38 μm,该算法与传统奇异值分解法(SVD)、四元数法和Levenberg-Marquardt法(L-M)相比有更高的求解精度和稳定性,证明所提出的补偿方法具有可行性。

关键词: 驱动桥, 螺旋锥齿轮, 对偶四元数, 迭代最近点算法(ICP), 全局优化

Abstract:

In order to ensure the safety and energy saving performance of the vehicle, it is crucial to improve the machining quality of spiral bevel gear tooth surface. An Iterative Closest Point (ICP) error compensation method optimized by dual quaternion was proposed for the measurement error of the measured and theoretical tooth surface. The error compensation problem was transformed into the matching of two surfaces. Dual quaternions were used to represent the tooth surface matching model, which helped to obtain the error matrix. The error matrix was linearized and a convex relaxation global optimization algorithm was applied to optimize the real part of the matrix. And then the precision matching of the spiral bevel gear tooth surfaces was achieved. The results show that the error compensation for the concave tooth surface reaches up to 77%. Specifically, the maximum error is reduced from 22.11 μm to 5.64 μm and the average error is reduced from 10.34 μm to 2.38 μm. Compared with the traditional Singular Value Decomposition (SVD) method, Quaternion method and Levenberg-Marquardt (L-M) method, the proposed algorithm has higher accuracy and stability, proving that the proposed compensation method is feasible.

Key words: drive axle, spiral bevel gears, dual quaternions, iterative closest point (ICP) algorithm, global optimization

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