Speed Prediction of DC Shunt Motor by using Artificial Neural Network.
Prashant Kumar Choudhary, Badal Bepari, Amit Kumar, Aritra Ghosh · 2014
This paper explicitly and effectively examines the application of ANN to speed forecast of dc motors. Artificial neural networks (ANN's) is an approach to evolve an efficient model for prediction of DC motor speed, based on a set of input conditions. Neural network algorithms are developed for use as a direct modeling method, to predict DC motor speed control operations. The training of the networks is performed with experimental machining data. Levenberg- Marquardt standard back-propagation algorithm with normalized preprocessed data is used to predict and show the pattern of correlation of input in relation to the output. All machine manufactures and industrial engineers often find ways of minimizing engineering time, reducing prototyping cost and optimizing product quality by expanding the data set for future year development. Keywords—Artificial neural network (ANN), DC shunt Motor, Error chart, Feed-forward Back-propagation, MATLAB and Speed prediction .