ANN modified design model to adjust field current of D.C. Motor

Abstract EN

This work is concerned with designing an adjusted field current of D.C.

motors to obtain constant speed, based on ANN.

The design is employed by using training model with supervised manner with back-propagation algorithm.

MATLAB neural network tool box is used for training purpose.

The feed-forward neural network (FFNN) and learning capabilities offers a promising way to solve the problem of system non-linearity, parameter variations on unexpected load excisions associated with D.C.

motor drive system.

The proposed ANN controller model is implemented with a control dc motor drive system in the laboratory.

The laboratory test results validate the efficacy of the based controller model for a high performance dc motor drive.