Design of an Algebraic Neural Operating System in Programmable Logical Controller for Simulation and Execution of Sequential Operations

This paper deals with a general method for the analysis and the logical generation of discrete systems in Programmable Logical Controller (PLC). The Boolean operators are implemented with a generic and unique algebraic model as event-dependent discrete equations, which can be executed in a sequential order. With this method, a generator of sequential logical tables can be designed, simulated and executed for implementing discrete dynamical systems. Two applications are studied. The first application deals with the industrial automation of a water supply for a factory. From the logical table of the events, an algebraic model is designed with a set of discrete equations. From these digital equations, a neural network of the water supply is built. The second application deals with an industrial traveling wagon.