Description
The book Control Engineering with Fuzzy Logic is a practical guide to entering the fascinating world of control engineering using Arduino and ESP32 boards. The author has tried to explain complex mathematical concepts and classical and modern control theories in a simple and understandable language for engineers and students so that they can design smarter systems for their projects.
In different sections of this work, PID control methods, Fuzzy Logic, and Sliding Mode control are examined. The main focus is on the implementation of these algorithms for temperature and speed control of DC motors, and the reader learns how to simulate and implement stable systems in real environments by combining accurate sensors and various actuators.
Book Features
- Teaching the principles of control engineering and modeling of PT1 and PT2 systems.
- Special focus on the design and implementation of fuzzy control systems.
- Guide to using temperature sensors (NTC, PT100) and pH sensors.
- Learning to work with actuators such as H-bridges, MOSFETs, and solid-state relays.
- An introductory review of neural networks and machine learning on microcontroller boards.
Book specifications
- Publisher: Elektor
- Instructor: Josef Bernhardt
- Number of pages: 360
- Number of chapters: 12
- Format: PDF
Headlines
Pictures
User Guide
Extract the file and run it with the appropriate software.
Download link
File(s) password: www.downloadly.ir
File size
34 MB
