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Barrier Lyapunov Function-Based Robust Control of Variable Stiffness Actuator Using Multi-Domain Disturbance Compensation

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

Compliant control of variable stiffness actuators (VSAs) requires accurate external torque estimation and comprehensive disturbance compensation. Conventional single-side encoder methods yield only lumped disturbance estimates, which prevent accurate force-sensor-free external torque reconstruction for impedance-based control. To address this limitation, this article proposes a novel control architecture that includes a multi-domain disturbance observer (MD-DOB) for separate estimation and compensation of internal and external disturbances without the need for a costly and bulky force sensor, and a barrier Lyapunov function-based feedforward control for suppression of output turbulence and enhancement of dynamic responsiveness. The resulting barrier Lyapunov function (BLF)-augmented multi-domain compensation controller (BLF-MDCC) is experimentally validated via disturbance rejection and trajectory tracking tests, demonstrating reduced position tracking error and robust performance under interactive operating conditions. © 2026 IEEE
Original languageEnglish
Number of pages13
JournalIEEE Transactions on Industrial Electronics
DOIs
Publication statusOnline published - 1 Sept 2026

Funding

This work was supported in part by the Collaborative Research Fund (CRF) through the Research Grants Council, Hong Kong SAR, under Project C1052-21GF, in part by the General Research Fund through Research Grants Council, Hong Kong SAR, under Project 11217623, and in part by the RGC Research Fellow Scheme (RGC) through the Research Grants Council, Hong Kong SAR, under Grant RFS2223-1S05.

Research Keywords

  • Barrier Lyapunov function (BLF)
  • disturbance compensation
  • multi-domain disturbance observer (MD-DOB)
  • position tracking
  • variable stiffness actuators (VSAs)

RGC Funding Information

  • RGC-funded

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