Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques

Han, Yaofei; Gong, Chao; Gao, Jinqiu

This book introduces how to improve the accuracy and robustness of model predictive control. Firstly, the disturbance observation- and compensation-based method is developed. Secondly, direct parameter identification methods are developed. Thirdly, the seldom-focused-on issues such as sampling and delay problems are solved in this book. Overall, this book solves the problems in a systematic and innovative way.

Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com

Details

Published by: Springer

Publication Date: 2022-02-09

Format: Hardcover

ISBN-13: 9789811680656

DOI: 10.1007/978-981-16-8066-3

Dimensions: 235cm x155cm

Pages: 129