Description

Book Synopsis

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




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

Model Predictive Control for AC Motors:

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    A Hardback by Yaofei Han, Chao Gong, Jinqiu Gao

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      Publisher: Springer Verlag, Singapore
      Publication Date: 09/02/2022
      ISBN13: 9789811680656, 978-9811680656
      ISBN10: 9811680655
      Also in:
      Automatic control engineering Instruments and instrumentation

      Description

      Book Synopsis

      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




      Table of Contents
      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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