Modeling and Control of Robotic Manipulators

Author(s):  
M. Boldin ◽  
A. Graffunder ◽  
Z. Ren
1995 ◽  
Vol 117 (4) ◽  
pp. 640-643 ◽  
Author(s):  
Seung-Bok Choi ◽  
B. S. Thompson ◽  
M. V. Gandhi

This technical brief addresses the dynamic modeling and control methodology to suppress structural deflections of industrial robotic manipulators featuring elastic members retrofitted with surface bonded piezoelectric actuators and sensors. The dynamic modeling is accomplished by developing a finite element formulation. The governing equation of motion is then modified by condensing the electric potential vectors, and subsequently two different feedback controllers are established: a constantgain feedback controller and a constant-amplitude feedback controller. Computer simulations are undertaken in order to demonstrate the superior performance characteristics, such as smaller deflections at the end-effector, to be accrued from the proposed methodology.


Author(s):  
Jayant B. Khurpade ◽  
Sukhdeep S. Dhami ◽  
Sukhwant S. Banwait

Robotic manipulators are complex mechanisms due to which their kinematics and dynamics are nonlinear in nature and computationally intensive. Fuzzy logic based approach provides an alternative for modeling and control of non-linear systems and hence has been extensively applied in the field of robotics. This paper presents a review of fuzzy logic based techniques for modeling and control of robotic manipulators. The survey is reported in terms of objectives, types of robotic manipulators, types and structures of fuzzy systems employed. A summary of quantitative results is presented as performance indicators of fuzzy modeling and control of robotic manipulators.


2021 ◽  
Author(s):  
Jamal Arezoo ◽  
Keyvan Arezoo ◽  
Bahram Tarvirdizadeh ◽  
Khalil Alipour

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