Angle Control of a one-Dimension Pneumatic Muscle Arm using Self-Organizing Fuzzy Control

2006 ◽  
Author(s):  
Ming-Kung Chang ◽  
Ping-Lang Yen ◽  
Tsan-Hsiu Yuan
Keyword(s):  
Fuzzy Control ◽  
One Dimension ◽  
Pneumatic Muscle ◽  
Self Organizing

Fuzzy Control as Self-Organizing Adaptive Constraint-Oriented Problem Solving

1995 ◽  
pp. 111-122 ◽  
Author(s):  
Osamu Katai ◽  
Masaaki Ida ◽  
Tetsuo Sawaragi ◽  
Kiminori Shimamoto ◽  
Sosuke Iwai ◽  
...  
Keyword(s):  
Problem Solving ◽  
Fuzzy Control ◽  
Self Organizing

scholarly journals Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles

2020 ◽  
Vol 28 (8) ◽  
pp. 1542-1556 ◽  
Author(s):  
Md Meftahul Ferdaus ◽  
Mahardhika Pratama ◽  
Sreenatha G. Anavatti ◽  
Matthew A. Garratt ◽  
Yongping Pan
Keyword(s):  
Fuzzy Control ◽  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Neuro Fuzzy ◽  
Self Organizing

Fuzzy Control of a Pneumatic Muscle Driven Parallel Robot for Ankle Rehabilitation

2009 ◽  
Author(s):  
Prashant K. Jamwal ◽  
Shane Xie ◽  
Jack Farrant
Keyword(s):  
Fuzzy Control ◽  
Degrees Of Freedom ◽  
Fuzzy Controller ◽  
Parallel Robot ◽  
Modeling And Control ◽  
Pneumatic Muscle ◽  
Linear Behavior ◽  
Improved Performance ◽  
Unpredictable Environment ◽  
And Control

A new wearable parallel robot has been designed and constructed for ankle joint rehabilitation treatments. The robot employs four pneumatic muscle actuators (PMA) together with cables to achieve three rotational degrees of freedom (dof) of its end platform. Parallel topology of the robot, unpredictable environment along with the time varying and non-linear behavior of actuators impose modeling and control challenges which are difficult to comprehend. In this paper an optimal fuzzy dynamic model of the pneumatic muscle has been developed to accurately predict the muscle behavior. The model is capable of mapping the complex relationship in length, force and pressure of the PMA with higher accuracy. This model has been further used to develop a fuzzy control scheme for the ankle robot. Experimental results are obtained to study and model the simultaneous actuation of all the actuators. Comparison with the previous dynamic modeling and control schemes demonstrates an improved performance of the proposed fuzzy controller.

Fuzzy Control: 2D Pneumatic Muscle Actuator's Arm

2009 ◽  
Vol 42 (1) ◽  
pp. 24-27 ◽  
Author(s):  
Ying T Wang ◽  
R-H Wong ◽  
C-W Yu ◽  
W-C Huang
Keyword(s):  
Fuzzy Control ◽  
Pneumatic Muscle
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