Majid Pakdel

Digital Control of Power Converters Using Arduino and an STM32 Microcontroller (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This concise and accessible guide equips readers with the knowledge and skills needed to implement digital control algorithms to design efficient and reliable power converters using STM32 microcontrollers.

Through this book, Majid Pakdel covers a range of topics including digital control theory, switching converters theory, the design and implementation of control algorithms (such as proportional-integral-derivative and advanced digital control techniques), programming of STM32 microcontrollers, and interfacing with power electronics components. He also provides step-by-step tutorials and code examples to help readers understand and implement the concepts in their own projects. Readers will gain a deep understanding of digital control techniques in power converters, learn how to program STM32 microcontrollers for control applications, and be able to design and implement their own digital control algorithms in power electronics systems. The practical examples provided in the book will help readers apply the knowledge gained to real-world projects and improve their skills in developing digital control systems.

The information within is useful for young professionals and students aiming at experimental implementation on a microcontroller platform of a control algorithm for power converters. To fully benefit from the practical examples demonstrating digital controller implementation on the STM32, readers should have a solid understanding of power switching converter topologies, modeling, and control.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 23. Dezember 2024
• Englisch
• ISBN-13: 9781040228838
• Artikelnr.: 72284893

Autorenporträt

Majid Pakdel earned a bachelor's degree at Amirkabir University of Technology in 2004, a master's degree at Isfahan University of Technology in 2007, a PhD in electrical power engineering at the University of Zanjan in 2018, and a further master's degree in AI and robotics at Malek Ashtar University of Technology in 2023.