1
|
Anh HPH, Kien CV, Son NN, Nam NT. New approach of sliding mode control for nonlinear uncertain pneumatic artificial muscle manipulator enhanced with adaptive fuzzy estimator. INT J ADV ROBOT SYST 2018. [DOI: 10.1177/1729881418773204] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
A new enhanced adaptive fuzzy sliding mode control approach is proposed in this article with its good availability for application in control of a highly uncertain nonlinear two-link pneumatic artificial muscle manipulator. Stability demonstration of the robust convergence of the closed-loop pneumatic artificial muscle manipulator system based on a novel enhanced adaptive fuzzy sliding mode control is experimentally proved using Lyapunov stability theorem. Obtained result confirms that the new enhanced adaptive fuzzy sliding mode control method, applied to the two-link uncertain nonlinear pneumatic artificial muscle manipulator system, is fully investigated with better robustness and precision than the standard sliding mode control and fuzzy sliding mode control techniques.
Collapse
Affiliation(s)
- Ho Pham Huy Anh
- Faculty of Electrical and Electronics Engineering (FEEE), Key Laboratory of Digital Control and System Engineering (DCSELAB), Ho Chi Minh City University of Technology (VNU-HCM), Ho Chi Minh City, Vietnam
| | - Cao Van Kien
- Faculty of Electrical and Electronics Engineering (FEEE), Key Laboratory of Digital Control and System Engineering (DCSELAB), Ho Chi Minh City University of Technology (VNU-HCM), Ho Chi Minh City, Vietnam
| | - Nguyen Ngoc Son
- Faculty of Electronics Technology, Industrial University of HCM City, Ho Chi Minh City, Vietnam
| | - Nguyen Thanh Nam
- Key Laboratory of Digital Control and System Engineering (DCSELAB), Ho Chi MInh City University of Technology, VNU-HCM, Ho Chi Minh City, Vietnam
| |
Collapse
|
2
|
|