An Universal Control Strategy for Planar 2-DoF Underactuated Manipulator with One Passive Joint

Author(s):  
Zixin Huang ◽  
Yaosheng Zhou ◽  
Zhen Chen ◽  
Wei Wang ◽  
Lejun Wang
2020 ◽  
Vol 534 ◽  
pp. 139-153
Author(s):  
Zixin Huang ◽  
Xuzhi Lai ◽  
Pan Zhang ◽  
Qingxin Meng ◽  
Min Wu

2013 ◽  
Vol 373-375 ◽  
pp. 192-196
Author(s):  
Qi Xiao Xia ◽  
Yue Qing Yu ◽  
Zhi Quan Ren

Underactuated manipulator is one kind of second order nonholonomic dynamics systems. How to control this system is still an open problem. This paper proposes a fuzzy strategy to control three DOF underactuated manipulator with a last passive joint. Four measures are selected to construct the fuzzy logic controller. The four measures are divided into two classes; one class is concerning first link, another class concerning the second link. Four fuzzy logic processors are designed to deal with the measure errors, respectively. The four fuzzy logic processors are also divided into two classes according to the two measure classes. Then, the processed results from the four processors are composed to produce control signs to compensate the errors occurring in the manipulator motion. This method simplifies the design of the fuzzy logic controller. Finally, numerical simulation verifies the fuzzy controller.


2013 ◽  
Vol 791-793 ◽  
pp. 643-646
Author(s):  
Qi Xiao Xia ◽  
Yue Qing Yu ◽  
Zhang Yu

Control of Underactuate manipulator is a challenge. A fuzzy control method is presented to control a three DOFs underactuated manipulator with the last joint passive. Using the redundancy DOF, the base joint was assigned a motion plan. The second active joint is planed and controlled to compose the base joint dynamics to drive the last passive joint moving. So, the motion error of the joint 1 neednt be cared about. The fuzzy controller was designed based on measures errors between the tracked trajectory and desired trajectory. Gaussian membership functions are used for fuzzification of the error inputs and defuzzification of reasoning results. Numerical simulation on tracking of circle arc was implemented for verification of the presented fuzzy controller.


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