Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques

Yaofei Han, Chao Gong, Jinqiu Gao

Research output: Book/ReportBookpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
PublisherSpringer Nature
Number of pages129
ISBN (Electronic)9789811680663
ISBN (Print)9789811680656
DOIs
StatePublished - 1 Jan 2022

Keywords

  • AC motors
  • Model predictive control
  • Open Access
  • Prediction accuracy
  • Robustness
  • Sliding mode observers

Cite this