 Название: Artificial Intelligence for Power Electronics
Автор: Ahteshamul Haque, Saad Mekhilef, Azra Malik
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 390
Язык: английский
Формат: pdf (true), epub
Размер: 41.1 MB
Thorough review of how Artificial Intelligence can enhance the design, control, and optimization of power electronics systems.
Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between Artificial Intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI, the fundamentals of power electronics and the challenges the field faces in design to production, and the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB.
Enhancing power converter efficiency, forecasting vital power electronic component performance, or optimizing control techniques are just a few examples of how the subject matter connects theory and practice to provide a strong basis. This book's purpose goes beyond simply teaching; it also seeks to ignite curiosity and foster exploration. Tools such as MATLAB/Simulink and Python are utilized to solve the power electronics–related problems using AI techniques. The curriculum aims to stimulate students' interest, develop their analytical thinking, and motivate them to make significant contributions to this evolving field by showcasing real-world problems and presenting innovative solutions.
Power electronics is a cornerstone of modern electrical engineering, allowing for efficient control and conversion of electrical power in a wide range of applications. This area combines electronics and power engineering ideas to develop devices and systems capable of handling large amounts of electricity effectively. Power electronics encompasses a wide range of devices, including power converters, inverters, and motor drives, which are all necessary for modern industrial operations, consumer electronics, and renewable energy systems. The history of power electronics began with the introduction of the first semiconductor devices.
Power electronics technology in the 21st century envisions a more distributed energy sector with IoT connectivity, and smart devices. Power electronics is the study of how electrical power is controlled and converted through electronic devices. It covers a wide range of technologies and applications, including small power supply and huge power systems. Understanding basic ideas and terminologies, such as the many types of power electronic devices, converters, modulation techniques, and control methods, is critical for anyone working in this field. These ideas underpin a wide range of applications, including renewable energy systems, electric transportation systems, and diverse range of power suppliers. The swift growth of energy planning technology in smart grids, combining sensors, smart devices, storage devices, and non-conventional energy sources utilizing communication networks, is driving the demand for more sustainable and cleaner energy.
Topics discussed in Artificial Intelligence for Power Electronics include:
Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning models
Techniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of data
Optimization techniques such as Particle Swarm Optimization and Ant Colony Optimization
Detection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behavior
Essential Python libraries for Machine Learning and how to perform Machine Learning on a Raspberry Pi
Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable.
Contents:
Preface
1 Fundamentals of Power Electronics and Key Challenges
2 Introduction of AI and Utility for Power Electronics Applications
3 Machine Learning Fundamentals
4 Data Collection and Pre-processing
5 Fuzzy Logic and Metaheuristic Methods in Power Electronics
6 Supervised Learning for Power Electronics
7 Unsupervised Learning for Anomaly Detection
8 Reinforcement Learning and Control
9 Implementation of Machine Learning for Power Electronics Application Using MATLAB
10 Implementation of Machine Learning for Power Electronics Application Using PYTHON
11 Integration of AI in Power Electronics in Real-time
Index
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