scholarly journals An Adaptive Fuzzy Control Model for Multi-Joint Manipulators

2022 ◽  
Vol 40 (3) ◽  
pp. 1043-1057
Author(s):  
Yanzan Han ◽  
Huawen Zhang ◽  
Zengfang Shi ◽  
Shuang Liang
2013 ◽  
Vol 415 ◽  
pp. 267-270 ◽  
Author(s):  
Yuan Chen ◽  
Yun Jun Bi ◽  
Jun Gao

A robust adaptive fuzzy control scheme combined with an adaptive fuzzy control algorithm and H∞ control model is proposed for the trajectory tracking control of robot manipulator with structured and unstructured uncertainties. The adaptive fuzzy control algorithm is employed to approximate structured uncertainties, and the nonlinear robust H control model is designed to eliminate the effect of the unstructured uncertainties and approximation errors. The validity of the robust adaptive fuzzy control scheme is demonstrated by numerical simulations of a two-link rotary robot manipulator.


2020 ◽  
Vol 51 ◽  
pp. 30-38 ◽  
Author(s):  
Naeimeh Fakhr Shamloo ◽  
Ali Akbarzadeh Kalat ◽  
Luigi Chisci

Author(s):  
Shuzhen Diao ◽  
Wei Sun ◽  
Le Wang ◽  
Jing Wu

AbstractThis study considers the tracking control problem of the nonstrict-feedback nonlinear system with unknown backlash-like hysteresis, and a finite-time adaptive fuzzy control scheme is developed to address this problem. More precisely, the fuzzy systems are employed to approximate the unknown nonlinearities, and the design difficulties caused by the nonlower triangular structure are also overcome by using the property of fuzzy systems. Besides, the effect of unknown hysteresis input is compensated by approximating an intermediate variable. With the aid of finite-time stability theory, the proposed control algorithm could guarantee that the tracking error converges to a smaller region. Finally, a simulation example is provided to further verify the above theoretical results.


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