pneumatic artificial muscle
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Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 364
Author(s):  
Yanding Qin ◽  
Haoqi Zhang ◽  
Xiangyu Wang ◽  
Jianda Han

The hysteretic nonlinearity of pneumatic artificial muscle (PAM) is the main factor that degrades its tracking accuracy. This paper proposes an efficient hysteresis compensation method based on the active modeling control (AMC). Firstly, the Bouc–Wen model is adopted as the reference model to describe the hysteresis of the PAM. Secondly, the modeling errors are introduced into the reference model, and the unscented Kalman filter is used to estimate the state of the system and the modeling errors. Finally, a hysteresis compensation strategy is designed based on AMC. The compensation performances of the nominal controller with without AMC were experimentally tested on a PAM. The experimental results show that the proposed controller is more robust when tracking different types of trajectories. In the transient, both the overshoot and oscillation can be successfully attenuated, and fast convergence is achieved. In the steady-state, the proposed controller is more robust against external disturbances and measurement noise. The proposed controller is effective and robust in hysteresis compensation, thus improving the tracking performance of the PAM.


2022 ◽  
Vol 118 ◽  
pp. 104960
Author(s):  
Gendi Liu ◽  
Ning Sun ◽  
Dingkun Liang ◽  
Yiheng Chen ◽  
Tong Yang ◽  
...  

2021 ◽  
pp. 113321
Author(s):  
Songyi Zhong ◽  
Ziyi Gai ◽  
Yang Yang ◽  
Yongjian Zhao ◽  
Yuyan Qi ◽  
...  

2021 ◽  
Author(s):  
Mohammad Al Saaideh ◽  
Hussam J. Khasawneh ◽  
Moudar Zgoul ◽  
Malak Al-Ma'aita ◽  
Mohammad Al Janaideh

2021 ◽  
pp. 101-127
Author(s):  
Norman M. Wereley ◽  
Erica G. Hocking ◽  
Benjamin K. S. Woods ◽  
Curt S. Kothera

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