Unified Selective Harmonic Elimination for Power Converters

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.

This book includes information on:

Detailed derivation steps on Fourier series of square waveform and traditional SHE equations
Unified SHE formulations for symmetric and asymmetric multilevel converters, and different SHE equations for various scenarios
Advanced SHE solving algorithms including the resultant elimination method, the Groebner Bases-based method, symmetric polynomials, and Newton identities
Online implementations of SHE based on both algebraic algorithms and intelligent algorithms
Advanced capacitor voltage balancing methods under SHE for multilevel converters
Basic and advanced closed-loop controller and model-predictive control under SHE for industrial drives

Author Biography

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.