Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters

Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters applies MPC techniques to control induction motors and in doubly-fed induction generators,using field orientation control techniques for current and direct power control. It discusses mathematical modeling,MPC theory,applications,design,and simulation in MATLAB,with experimental results.

Format: Paperback / softback
Length: 242 pages
Publication date: 24 January 2022
Publisher: Elsevier - Health Sciences Division

Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters delves into the realm of applying model predictive control techniques, encompassing modulator and finite control sets, to squirrel cage induction motors and doubly-fed induction generators. These techniques are further enhanced with field orientation control methodologies for both current control and direct power control. The book explores the intricacies of induction machines, shedding light on their fundamental modulation techniques. It also introduces the invaluable role of model predictive control, delving into core concepts such as vector control, direct torque control, and direct power control, alongside innovative approaches like MPC. Thorough mathematical modeling of the cited systems is undertaken, accompanied by a comprehensive exploration of MPC theory, its practical applications, MPC design, and simulation using MATLAB. Furthermore, the book addresses implementation considerations, encompassing generator operation during voltage sags or distorted voltage conditions, as well as inverter operation in grid-connected scenarios characterized by distorted voltage. Extensive experimental results are presented in detail, providing a concrete foundation for the theoretical discussions. This comprehensive work serves as a valuable resource for researchers, engineers, and practitioners seeking to enhance the efficiency and performance of power systems utilizing induction generators and power converters.

Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters explores the application of model predictive control techniques, including modulator and finite control sets, to squirrel cage induction motors and doubly-fed induction generators. These techniques are further enhanced with field orientation control methodologies for both current control and direct power control.

The book delves into the intricacies of induction machines, shedding light on their fundamental modulation techniques. It also introduces the invaluable role of model predictive control, delving into core concepts such as vector control, direct torque control, and direct power control, alongside innovative approaches like MPC.

Thorough mathematical modeling of the cited systems is undertaken, accompanied by a comprehensive exploration of MPC theory, its practical applications, MPC design, and simulation using MATLAB. Furthermore, the book addresses implementation considerations, encompassing generator operation during voltage sags or distorted voltage conditions, as well as inverter operation in grid-connected scenarios characterized by distorted voltage.

Extensive experimental results are presented in detail, providing a concrete foundation for the theoretical discussions. This comprehensive work serves as a valuable resource for researchers, engineers, and practitioners seeking to enhance the efficiency and performance of power systems utilizing induction generators and power converters.

Weight: 396g
Dimension: 172 x 228 x 20 (mm)
ISBN-13: 9780323909648