arXiv:2506.16356cs.RO2025-06中稿 · Advances in Roboti…被引 2

对比内外齿轮箱结构,为足式机器人选型提供优化依据

Comparison between External and Internal Single Stage Planetary gearbox actuators for legged robots

  • 基于性能需求系统优化齿轮箱参数,避免经验设计
  • 5:1至7:1用内齿箱更轻,超7:1则外齿箱更可行
  • 实测两款优化电机质量与模型预测高度一致

足式机器人如四足和人形机器人需要高性能执行器以实现高效运动。采用单级行星齿轮箱的准直接驱动(QDD)执行器具有低惯性、高效率和高透明度优势。在行星齿轮架构中,内部(ISSPG)和外部(ESSPG)单级行星齿轮箱是两种主流设计。尽管内齿箱在特定传动比下因紧凑性和高扭矩密度而更受青睐,但二者之间尚无客观比较。现有设计多依赖经验法则而非系统优化。本文提出一种设计框架,可基于给定性能要求和电机规格最优选择执行器参数。利用该框架,我们生成并分析了两种架构的多种优化设计。结果表明:对于T-motor U12电机,在5:1至7:1传动比范围内,内齿箱更优,重量更轻;当传动比超过7:1时,内齿箱不可行,此时外齿箱在7:1至11:1范围内更具优势。为验证方法有效性,我们设计并优化了两个可用于制造的执行器:一个6.0:1传动比的内齿箱,一个7.2:1传动比的外齿箱,其实际质量与优化模型预测值高度吻合,证明了本方法的有效性。

原文摘要 · Abstract (English)

Legged robots, such as quadrupeds and humanoids, require high-performance actuators for efficient locomotion. Quasi-Direct-Drive (QDD) actuators with single-stage planetary gearboxes offer low inertia, high efficiency, and transparency. Among planetary gearbox architectures, Internal (ISSPG) and External Single-Stage Planetary Gearbox (ESSPG) are the two predominant designs. While ISSPG is often preferred for its compactness and high torque density at certain gear ratios, no objective comparison between the two architectures exists. Additionally, existing designs rely on heuristics rather than systematic optimization. This paper presents a design framework for optimally selecting actuator parameters based on given performance requirements and motor specifications. Using this framework, we generate and analyze various optimized gearbox designs for both architectures. Our results demonstrate that for the T-motor U12, ISSPG is the superior choice within the lower gear ratio range of 5:1 to 7:1, offering a lighter design. However, for gear ratios exceeding 7:1, ISSPG becomes infeasible, making ESSPG the better option in the 7:1 to 11:1 range. To validate our approach, we designed and optimized two actuators for manufacturing: an ISSPG with a 6.0:1 gear ratio and an ESSPG with a 7.2:1 gear ratio. Their respective masses closely align with our optimization model predictions, confirming the effectiveness of our methodology.

机器人执行器齿轮箱设计优化方法

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