TY - GEN
T1 - Real-Time Model Reference Adaptive Fuzzy Control of a 3DOF Robot Arm
AU - Ventura-Hinostroza, Hubert
AU - Rojas-Moreno, Arturo
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9
Y1 - 2020/9
N2 - This work implements a MIMO (Multiple Input Multiple Output) MRAFC (Model Reference Adaptive Fuzzy Controller) to control the angular positions of an articulated 3DOF (3 Degrees of Freedom) robot arm. The structure of the MRAFC is represented by the Takagy-Sugeno fuzzy model. In this work, such a structure is enhanced via experimentation in order to fulfil the established design specification. The adaptive character of the MRAFC is necessary to overcome the parameter uncertainty of the modelling. Part of the design of the MRAFC requires the linearized state-space representation of the MIMO nonlinear model of the robot arm. Experimental results demonstrate that the implemented MRAFC is able to achieve the following desired design specifications for each degree of freedom: A settling time less than 2 s,a steady-state error close to null, and a P.O. (Percent Overshoot) around 2 %.
AB - This work implements a MIMO (Multiple Input Multiple Output) MRAFC (Model Reference Adaptive Fuzzy Controller) to control the angular positions of an articulated 3DOF (3 Degrees of Freedom) robot arm. The structure of the MRAFC is represented by the Takagy-Sugeno fuzzy model. In this work, such a structure is enhanced via experimentation in order to fulfil the established design specification. The adaptive character of the MRAFC is necessary to overcome the parameter uncertainty of the modelling. Part of the design of the MRAFC requires the linearized state-space representation of the MIMO nonlinear model of the robot arm. Experimental results demonstrate that the implemented MRAFC is able to achieve the following desired design specifications for each degree of freedom: A settling time less than 2 s,a steady-state error close to null, and a P.O. (Percent Overshoot) around 2 %.
KW - Fuzzy control
KW - model reference adaptive control
KW - nonlinear modelling
KW - robot arm
UR - https://www.scopus.com/pages/publications/85095413328
U2 - 10.1109/INTERCON50315.2020.9220247
DO - 10.1109/INTERCON50315.2020.9220247
M3 - Conference contribution
AN - SCOPUS:85095413328
T3 - Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
BT - Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Y2 - 3 September 2020 through 5 September 2020
ER -