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Model predictive control for AC motors : robustness and accuracy improvement techniques / edited by Yaofei Han, Chao Gong and Jinqiu Gao.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2022 Available online
View online- Format:
- Book
- Language:
- English
- Subjects (All):
- Electric motors--Automatic control.
- Electric motors.
- Automatic control.
- Predictive control.
- Physical Description:
- 1 online resource (137 pages)
- Place of Publication:
- Gateway East, Singapore : Springer, [2022]
- Language Note:
- English
- 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.
- Contents:
- Model Predictive Control Principles For AC Motors Robustness against Stator Parameter Mismatch Robustness against Rotor Parameter Mismatch Accuracy Improvement of Model Predictive Control
- Notes:
- Description based on print version record.
- Includes bibliographical references and index.
- Other Format:
- Print version: Han, Yaofei Model Predictive Control for AC Motors
- ISBN:
- 981-16-8066-3
- 981-16-8065-5
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