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Control Engineering with Fuzzy Logic. Practical Applications and Project with Arduino, ESP32, and RP2040
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- Nombre de pages359
- FormatePub
- ISBN978-3-89576-681-7
- EAN9783895766817
- Date de parution17/12/2024
- Protection num.Digital Watermarking
- Taille17 Mo
- Infos supplémentairesepub
- ÉditeurElektor
Résumé
Immerse yourself in the fascinating world of control engineering with Arduino and ESP32! This book offers you a practical introduction to classic and modern control methods, including PID controllers, fuzzy logic, and sliding-mode controllers.
In the first part, you will learn the basics of the popular Arduino controllers, such as the Arduino UNO and the ESP32, as well as the integration of sensors for temperature and pH measurement (NTC, PT100, PT1000, and pH sensor).
You will learn how to use these sensors in various projects and how to visualize data on a Nextion TFT display. The course continues with an introduction to actuators such as MOSFET switches, H-bridges, and solid-state relays, which are used to control motors and actuators. You will learn to analyze and model controlled systems, including PT1 and PT2 control. The book focuses on the implementation of fuzzy and PID controllers for controlling temperature and DC motors.
Both the Arduino UNO and the ESP32 are used. The sliding-mode controller is also introduced. In the second-to-last chapter, you will explore the basics of neural networks and learn how machine learning can be used on an Arduino. In the last chapter, there is a practical example of a fuzzy controller for feeding electricity into the household grid. This book is the perfect choice for engineers, students, and electronics engineers who want to expand their projects with innovative control techniques.
You will learn how to use these sensors in various projects and how to visualize data on a Nextion TFT display. The course continues with an introduction to actuators such as MOSFET switches, H-bridges, and solid-state relays, which are used to control motors and actuators. You will learn to analyze and model controlled systems, including PT1 and PT2 control. The book focuses on the implementation of fuzzy and PID controllers for controlling temperature and DC motors.
Both the Arduino UNO and the ESP32 are used. The sliding-mode controller is also introduced. In the second-to-last chapter, you will explore the basics of neural networks and learn how machine learning can be used on an Arduino. In the last chapter, there is a practical example of a fuzzy controller for feeding electricity into the household grid. This book is the perfect choice for engineers, students, and electronics engineers who want to expand their projects with innovative control techniques.
