A study on industrial robotic manipulator model using model based predictive controls
In this study, a single input single output (SISO) neural generalized predictive control (NGPC) was applied to a six joint robotic manipulator. The SISO generalized predictive control (GPC) was also used for comparison. Modeling of the dynamics of the robotic manipulator was made by using the Lagrange-Euler equations. The cubic trajectory principle is used for position reference and velocity reference trajectories. A simulation program was prepared by using Delphi 6.0. All computations for manipulator dynamics model, GPC-SISO, and NGPC-SISO were done on PC with 1.6 GHz Centrino CPUs by using this program. The parameter estimation algorithm used in the GPC-SISO is Recursive Least Squares. The minimization algorithm used in the NGPC-SISO is Newton-Raphson. According to the simulation results, the results of the NGPC-SISO algorithm were better than those of the GPC-SISO algorithm.
neural generalized predictive control generalized predictive control robotic manipulator control trajectory planning