The automatic generation of Programmable Logic Controllers (PLCs) code serves as a tool for enhancing the intelligence and efficiency of manufacturing systems. PLCs can control a wide range of operations and processes, making them indis-pensable in today's industrial settings. One of the most significant innovations brought in this field of Artificial Intelligence (AI) is automated code generation.

The rapid advancement of AI has significantly impacted software develop-ment, particularly in automated code generation. AI-powered tools as machine learning and deep learning models aim to generate, optimize, and refine code, re-ducing development time and enhancing software quality. AI is becoming an in-telligent assistant, capable of accelerating software development phases. We first explore a comprehensive IEC 61131-3 international standard for multiple PLC programming languages as Structured Text (ST) and Ladder Diagram (LD). ST language is a high-level, text-based programming language used in PLC pro-gramming systems. Due to its structure and syntax, high-level programming lan-guages - like Delphi programming language - offer special readability and main-tainability, making it the preferred choice for developing complex control logic.

One main contribution of this paper is to design a structure for ST high-level programming language with its Delphi-like syntax. This is reflected in the case study where an application is presented that was first virtualized. And the pro-gram for the programmable logic controller that controls the operation of the mo-tors of a conveyor was created, in ST language, by using an AI generation tool that uses the natural programming language method.