Digital Controller Design Based on Logic Neural Networks

Abstract In this paper a new approach on digital controller design based on logic neural networks is presented. In the first part of the paper the logic neuron and its logic function are introduced. Based on this, there is written the general equation for a logic neural network, which allows the easy design of any digital controller directly from the truth table. This solution is validated through MatLab Simulink modeling and simulation and then is implemented in a VLSI chip using PALASM HDL language and also in a ladder diagram PLC device. This method has the advantages of simplicity and flexibility and represents an easy to design modern solution.