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Title Model predictive control for AC motors robustness and accuracy improvement techniques / Yaofei Han, Chao Gong, Jinqiu Gao, editors
Published Singapore : Springer, 2022

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Description 1 online resource
Contents Model Predictive Control Principles For AC Motors -- Robustness against Stator Parameter Mismatch -- Robustness against Rotor Parameter Mismatch -- Accuracy Improvement of Model Predictive Control
Summary 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
Notes Online resource; title from PDF title page (SpringerLink, viewed February 24, 2022)
Subject Predictive control.
Electric motors, Alternating current -- Control
Predictive control
Form Electronic book
Author Han, Yaofei
Gong, Chao.
Gao, Jinqiu
ISBN 9789811680663
9811680663