Model predictive control for AC motors : robustness and accuracy improvement techniques / Yaofei Han, Chao Gong, Jinqiu Gao, editors.
Han, Yaofei.; Gong, Chao.; Gao, Jinqiu.
2022
TJ217.6
Available Online

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Title
Model predictive control for AC motors : robustness and accuracy improvement techniques / Yaofei Han, Chao Gong, Jinqiu Gao, editors.
ISBN
9789811680663 (electronic bk.)
9811680663 (electronic bk.)
9811680655
9789811680656
DOI
https://doi.org/10.1007/978-981-16-8066-3
Publication Details
Singapore : Springer, 2022.
Language
English
Description
1 online resource
Item Number
10.1007/978-981-16-8066-3 doi
Call Number
TJ217.6
Dewey Decimal Classification
629.8
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 24, 2022).
Added Author
Han, Yaofei.
Gong, Chao.
Gao, Jinqiu.
Available in Other Form
Print version: 9789811680656
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Model Predictive Control Principles For AC Motors
Robustness against Stator Parameter Mismatch
Robustness against Rotor Parameter Mismatch
Accuracy Improvement of Model Predictive Control.

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