Programmable Logic Controller Stage Programming Using Spiking Neural P Systems

摘要

The technology of programmable logic controller (PLC) has developed rapidly in recent years. Nevertheless, the internal logic control relationships of sophisticated PLC control systems are usually very complex. It brings many difficulties for programmers to learn, design, and maintain procedures. Spiking neural P systems (SN P systems, for short) is a variant of P systems. It is a parallel computing model inspired by the neurophysiologic behavior of biological spiking neurons. In this paper, the model of PLC control systems can be easily modeled by the five basic logic relationships built by SN P systems. A method that uses SN P systems to build a PLC control system model is proposed. Then, universal and basic design rules and design methods are tabulated in detail. A criterion for the modeling of the complex logical relationships in the PLC control system is proved. An example that uses this method to implement the PLC programming application of a typical water level control system is presented in detail. It shows that PLC programming process has been simplified and readability of the program has been enhanced after the introduction of spiking neural P systems. Therefore, the upgraded and maintenance of PLC program can be effectively improved. Meanwhile, this approach is understandability and provides a new selection of programming method for programmers.