Design and Backdrivability Modeling of a Portable High Torque Robotic Knee Prosthesis With Intrinsic Compliance for Agile Activities

Junxi Zhu, Chunhai Jiao, Israel Dominguez, Shuangyue Yu, Hao Su

Research output: Contribution to journalArticlepeer-review

Abstract

High-performance prostheses are crucial to enable versatile activities like walking, squatting, and running for lower extremity amputees. State-of-the-art prostheses are either not powerful enough to support demanding activities or have low compliance (low backdrivability) due to the use of high speed ratio transmission. Besides speed ratio, gearbox design is also crucial to the compliance of wearable robots, but its role is typically ignored in the design process. This article proposed an analytical backdrive torque model that accurately estimates the backdrive torque from both motor and transmission to inform the robot design. Following this model, this article also proposed methods for gear transmission design to improve compliance by reducing inertia of the knee prosthesis. We developed a knee prosthesis using a high torque actuator (built-in 9:1 planetary gear) with a customized 4:1 low-inertia planetary gearbox. Benchtop experiments show the backdrive torque model is accurate and proposed prosthesis can produce 200 Nm high peak torque (shield temperature <60 °C), high compliance (2.6 Nm backdrive torque), and high control accuracy (2.7/8.1/1.7 Nm RMS tracking errors for 1.25 m/s walking, 2 m/s running, and 0.25 Hz squatting, that are 5.4%/4.1%/1.4% of desired peak torques). Three able-bodied subject experiments showed our prosthesis could support agile and high-demanding activities.

Original languageEnglish (US)
Pages (from-to)1837-1845
Number of pages9
JournalIEEE/ASME Transactions on Mechatronics
Volume27
Issue number4
DOIs
StatePublished - Aug 1 2022

Keywords

  • Backdrive torque modeling
  • high compliance
  • high torque actuator
  • powered prosthesis
  • wearable robots

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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