2001 Volume 121 Issue 9 Pages 1002-1003
In this paper, we propose a method to compensate for nonlinear friction in linear dc motors (LDM) using a neural network controller that is added to the conventional controller. The output of the neural network controller is multiplied by sign function of the velocity reference, because it learns rapidly the nonlinear friction which is related to signs of the velocity. We applied the new method to positioning control of an LDM. The validity of the new method was verified by the experimental results.
The transactions of the Institute of Electrical Engineers of Japan.C
The transactions of the Institute of Electrical Engineers of Japan.B
The transactions of the Institute of Electrical Engineers of Japan.A
The Journal of the Institute of Electrical Engineers of Japan