Basic Programmable Logic controller with FPGA and Artificial Neural Networks

In this paper it has been structure an Artificial Neural Network ANN into a FPGA card using the Description and Modeling Language for VHDL circuits, with the purpose of designing a Programmable Logic controller. Besides the backpropagation learning algorithm was incorporated using Matlab, for the training of the ANN, and a communication system that allows to transfer the functioning conditions to the system, giving the chance to reprogram the Programmable Logic controller that has been incorporated, according to its requirements.