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Model predictive control for AC motorsrobustness and accuracy improvement techniques /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Model predictive control for AC motorsedited by Yaofei Han, Chao Gong, Jinqiu Gao.
Reminder of title:	robustness and accuracy improvement techniques /
other author:	Han, Yaofei.
Published:	Singapore :Springer Singapore :2022.
Description:	xi, 129 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Predictive control.
Online resource:	https://doi.org/10.1007/978-981-16-8066-3
ISBN:	9789811680663$q(electronic bk.)

Model predictive control for AC motorsrobustness and accuracy improvement techniques /
Model predictive control for AC motorsrobustness and accuracy improvement techniques /[electronic resource] :edited by Yaofei Han, Chao Gong, Jinqiu Gao. - Singapore :Springer Singapore :2022. - xi, 129 p. :ill., digital ;24 cm.

Model Predictive Control Principles For AC Motors -- Robustness against Stator Parameter Mismatch -- Robustness against Rotor Parameter Mismatch -- Accuracy Improvement of Model Predictive Control.

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.

ISBN: 9789811680663$q(electronic bk.)

Standard No.: 10.1007/978-981-16-8066-3doiSubjects--Topical Terms:

182316
Predictive control.

LC Class. No.: TJ217.6 / .M63 2022

Dewey Class. No.: 629.8

Model predictive control for AC motorsrobustness and accuracy improvement techniques /
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505 0 $a Model Predictive Control Principles For AC Motors -- Robustness against Stator Parameter Mismatch -- Robustness against Rotor Parameter Mismatch -- Accuracy Improvement of Model Predictive Control.
520 $a 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.
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650 0 $a Electric motors, Alternating current $x Control. $3 925014
650 1 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Industrial Automation. $3 919007
700 1 $a Han, Yaofei. $3 925012
700 1 $a Gong, Chao. $3 917589
700 1 $a Gao, Jinqiu. $3 925013
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