Adaptive fuzzy sliding mode control of an actuator powered by two opposing pneumatic artificial muscles

Minh Duc Duong, Quang Thuyet Pham, Tuan Chien Vu, Ngoc Tam Bui, Quy Thinh Dao

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Pneumatic artificial muscle (PAM) is a potential actuator in human–robot interaction systems, especially rehabilitation systems. However, PAM is a nonlinear actuator with uncertainty and a considerable delay in characteristics, making control challenging. This study presents a discrete-time sliding mode control approach combined with the adaptive fuzzy algorithm (AFSMC) to deal with the unknown disturbance of the PAM-based actuator. The developed fuzzy logic system has parameter vectors of the component rules that are automatically updated by an adaptive law. Consequently, the developed fuzzy logic system can reasonably approximate the system disturbance. When operating the PAM-based system in multi-scenario studies, experimental results confirm the efficiency of the proposed strategy.

Original languageEnglish
Article number8242
JournalScientific Reports
Volume13
Issue number1
DOIs
Publication statusPublished - 2023 Dec

ASJC Scopus subject areas

  • General

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