Neural Network Trajectory Tracking Control of Compliant Parallel Robot
2015 ◽
Vol 799-800
◽
pp. 1069-1073
Keyword(s):
Trajectory tracking control of compliant parallel robot is presented. According to the characteristics of compliant joint, the system model is derived and the dynamic equation is obtained based on the Lagrange method. Radial Basis Function (RBF) neural network control is designed to globally approximate the model uncertainties. Further, an itemized approximate RBF control method is proposed for higher identify precision. The trajectory tracking abilities of two control strategies are compared through simulation.
2019 ◽
Vol 2019
◽
pp. 1-15
◽
Keyword(s):
2021 ◽
Vol 11
(2)
◽
pp. 12-16
2012 ◽
Vol 48
(19)
◽
pp. 23
◽
Keyword(s):
2020 ◽
Vol 44
(2)
◽
pp. 228-233