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Comprehensive reference detailing key aspects of SHE, enabling readers to formulate different kinds of SHE equations, effectively solve the nonlinear SHE equations, and grasp key aspects of SHE applications.
Unified Selective Harmonic Elimination for Power Converters focuses on the three main challenges of selective harmonic elimination (SHE)--the mathematical modeling of fundamental and harmonic components using the pre-defined waveform, accurately solving SHE equations and obtaining the complete switching angle solution trajectory, and implementing SHE on multilevel converters and industrial drives--with information on how to fully leverage the strength of SHE techniques in power converters. The book covers the basics of the SHE method and reviews state-of-the-art research towards SHE, such as unified SHE formulations for multilevel converters, algebraic switching angle solving algorithms for SHE equations, and optimal implementations of SHE in multilevel converters and electric drives.
The book delves into model predictive SHE control for PMSM with simulation and experimental results and explains how to achieve common mode voltage reduction and capacitor voltage balance in multilevel converters. Concepts are supported by original MATLAB/Mathematica/Maple codes.
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This book is a good reference for engineers and researchers in the area of power electronics, with particular interest to those involved in renewable power generation, high-power energy storage, and high-power drives.
Author: Kehu Yang
ISBN-10: 1394314329
ISBN-13: 9781394314324
Publisher: Wiley-IEEE Press
Language: English
Published: 11/26/2025
Pages: 304
Format: Hardcover
Weight: 1.27lbs
Size: 9.00h x 6.00w x 0.75d
Kehu Yang is a Professor with the School of Artificial Intelligence, China University of Mining and Technology-Beijing, Beijing, China, and a member of the IEEE.
Mingzhe Wu is a Lecturer with the School of Mechanical and Electrical Engineering, China University of Mining and Technology-Beijing, Beijing, China.
Qi ZhangM is a Lecturer with the School of Artificial Intelligence, China University of Mining and Technology-Beijing, Beijing, China.
Chenxu Wang is a Ph.D. with the School of Artificial Intelligence, China University of Mining and Technology-Beijing, Beijing, China.
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