Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques
Yaofei Han, Chao Gong, Jinqiu GaoThis 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
Категории:
Год:
2022
Издательство:
Springer
Язык:
english
Страницы:
136
ISBN 10:
9811680655
ISBN 13:
9789811680656
Файл:
PDF, 17.98 MB
IPFS:
,
english, 2022
Скачивание этой книги недоступно по жалобе правообладателя