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JACIII Vol.29 No.6 pp. 1517-1529
doi: 10.20965/jaciii.2025.p1517
(2025)

Research Paper:

A PID Control System for Lower-Limb Rehabilitation Robot with a Function for Pedal Torque Estimation

Yue Jing*1,*2,*3 ORCID Icon, Zewen Wang*4 ORCID Icon, Qiwei Wu*5 ORCID Icon, Jinhua She*5,† ORCID Icon, and Seiichi Kawata*1,*2,*3 ORCID Icon

*1School of Automation, China University of Geosciences
388 Lumo Road, Hongshan, Wuhan 430074, China

*2Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
388 Lumo Road, Hongshan, Wuhan 430074, China

*3Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education
388 Lumo Road, Hongshan, Wuhan 430074, China

*4School of Mechanical Engineering and Electronic Information, China University of Geosciences
388 Lumo Road, Hongshan, Wuhan 430074, China

*5Graduate School of Engineering, Tokyo University of Technology
1404-1 Katakuramachi, Hachioji, Tokyo 192-0982, Japan

Corresponding author

Received:
March 9, 2025
Accepted:
August 5, 2025
Published:
November 20, 2025
Keywords:
equivalent input disturbance (EID), human–robot interaction, lower-limb rehabilitation robot (LLRR), torque estimation
Abstract

This article presents a proportional integral derivative (PID) control system for lower-limb rehabilitation robot that not only features satisfactory control performance for the pedal angle but also provides a function for pedal torque estimation. Nonlinear state feedback simplifies the stability analysis and control system design. The stability condition of the closed-loop system is derived based on a Lyapunov function. The PID controller ensures that the pedal angle tracks the reference trajectory. The equivalent input disturbance (EID) method in the control system was compared with the disturbance observer (DOB) and extended state observer (ESO) methods in terms of pedal torque estimation performance. The simulation results indicated that the EID method achieved a root mean square error of 0.37 N·m with 47.6% and 51.8% improvements over the DOB and ESO methods.

PID-EID control system for LLRRs

PID-EID control system for LLRRs

Cite this article as:
Y. Jing, Z. Wang, Q. Wu, J. She, and S. Kawata, “A PID Control System for Lower-Limb Rehabilitation Robot with a Function for Pedal Torque Estimation,” J. Adv. Comput. Intell. Intell. Inform., Vol.29 No.6, pp. 1517-1529, 2025.
Data files:
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Last updated on Nov. 19, 2025