Control of two-axis pneumatic artificial muscle manipulator with a new phase plane switching control method

2007 ◽  
Vol 21 (7) ◽  
pp. 1018-1027 ◽  
Author(s):  
Tu Diep Cong Thanh ◽  
Kyoung Kwan Ahn
2021 ◽  
Vol 146 ◽  
pp. 106976
Author(s):  
Yiheng Chen ◽  
Ning Sun ◽  
Dingkun Liang ◽  
Yanding Qin ◽  
Yongchun Fang

2005 ◽  
Vol 48 (4) ◽  
pp. 657-667 ◽  
Author(s):  
Kyoung Kwan AHN ◽  
TU Diep Cong THANH ◽  
Young Kong AHN

2010 ◽  
Vol 5 (1-2) ◽  
pp. 249-253
Author(s):  
János Gyeviki ◽  
József Sárosi ◽  
Antal Véha ◽  
Péter Toman

As an important driver element, the pneumatic artificial muscle (PAM) is widely used in industrial applications for many automation purposes thanks to their variety of advantages. The design of a stable robust position controller for PAM is difficult since it is a very nonlinear time-variant controlled plant because of the compressibility of air, air mass flow rate through the valve, etc. The main contribution of this paper is a robust position control method based on sliding mode for pneumatic muscle actuator. Finally, it presents experimental results.


2018 ◽  
Vol 15 (3) ◽  
pp. 172988141877320 ◽  
Author(s):  
Ho Pham Huy Anh ◽  
Cao Van Kien ◽  
Nguyen Ngoc Son ◽  
Nguyen Thanh Nam

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.


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