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PLCs for Beginners

PLCs for Beginners

By : M. T. White
5 (4)
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PLCs for Beginners

PLCs for Beginners

5 (4)
By: M. T. White

Overview of this book

With the rise of smart factories and advanced technology, the demand for PLC programmers with expertise beyond ladder logic is surging. Written by M.T. White, a seasoned DevOps engineer and adjunct CIS instructor, this guide offers insights from the author’s extensive experience in PLC and HMI programming across industries. This book introduces a fresh approach to PLC programming, preparing you for future automation challenges through computer science and text-based programming. Starting with the basic components of PLCs and their integration with other modules, this book gives you a clear understanding of system functionality and helps you master PLC program execution by learning about flow and essential components for effective programming. You'll understand program design with pseudocode and flowcharts, vital for planning programs, and cover Boolean logic intricacies, harnessing logical functions and truth tables for precise control statements. The book gives you a comprehensive grasp of structured text, its syntax and features crucial for efficient programming. The book also focuses on advanced topics like cybersecurity in PLC systems and leveraging generative AI (GenAI), such as ChatGPT, to enhance productivity. By the end of this book, you’ll be able to design real-world projects using pseudocode and flowcharts, and implement those designs in structured text.
Table of Contents (25 chapters)
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1
Part 1: Basics of Computer Science for PLC Programmers
8
Part 2: Introduction to Structured Text Programming
16
Part 3: Algorithms, AI, Security, and More

Summary

In this chapter, we covered GenAI, ChatGPT, prompt engineering, and more. We also explored how well ChatGPT produces code. In all fairness, it produced code at the same level a junior PLC programmer would. It’s not bad code, but it did take some massaging for it to work. As of now, and with the average prompt engineering skill level of most people, ChatGPT cannot be a stand-in for human programmers. In all fairness, a talented prompt writer with lots of time and an optimized system could probably produce grand code with the tool; however, for the average user, ChatGPT is not going to be a fill-in anytime soon. The key takeaway here is that ChatGPT is a tool. Just as a screwdriver is useless without a carpenter, ChatGPT and other systems are going to be equally useless without knowledgeable engineers driving. With the way the technology currently is, it is far better to think of ChatGPT and other AI systems as an assistant as opposed to an engineer.

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