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 describes the application of model predictive control techniques with modulator and finite control sets to squirrel cage induction motor and in doubly-fed induction generators using field orientation control techniques as both current control and direct power control. Sections discuss induction machines, their key modulation techniques, introduce the utility of model predictive control, review core concepts of vector control, direct torque control, and direct power control alongside novel approaches of MPC. Mathematical modeling of cited systems, MPC theory, their applications, MPC design and simulation in MATLAB are also considered in-depth. The work concludes by addressing implementation considerations, including generator operation under voltage sags or distorted voltage and inverters connected to the grid operating under distorted voltage. Experimental results are presented in full. Adopts model predictive control design for optimized induction machines geared for complex grid dynamics Demonstrates how to simulate model predictive control using MATLAB and Simulink Presents information about hardware implementation to obtain experimental results Covers generator operation under voltage sags or distorted voltage INDICE: 1. Induction machine and power converter models2. Fundamentals of Vector Control3. Fundamentals of model predictive control (MPC)4. MPC-WM of Doubly-fed induction generator and power converter 5. FCS of induction machines6. New MPC approach - Repetitive MPC (RMPC) 7. Simulink/Matlab implementation

• ISBN: 978-0-323-90964-8
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 242
• Fecha Publicación: 24/01/2022
• Nº Volúmenes: 1
• Idioma: Inglés