
Optimum Control of Electrical Drives and Power Converters
Computational Efficient Optimum Control for Three-Level-Inverters with DC-link Capacitance Balancing
Xinbo Cai(Author)
Shaker (Publisher)
1st Edition
Published on 7. May 2021
Book
Paperback/Softback
170 pages
978-3-8440-7981-4 (ISBN)
Description
This work belongs to the optimization of control methods for power converters and electrical drives.
Main contributions are as follows: an analytical solution of both continuous and discrete optimum control for power converters and drives is given, focusing on computational efficiency and enhanced performance; a new DC-link voltage balancing method using the deadbeat control concept for three-level NPC converters is proposed, which is suitable for the control applications using space vector modulation; a simple and effective neutral-point voltage balancing technique is proposed within the model predictive control framework for three-level NPC converters, which decouples the neutral point voltage balance control and targets current tracking; a fixed gain filter is proposed to estimate the position, velocity, and acceleration in angular motion, with computational efficiency and less tuning effort.
Main contributions are as follows: an analytical solution of both continuous and discrete optimum control for power converters and drives is given, focusing on computational efficiency and enhanced performance; a new DC-link voltage balancing method using the deadbeat control concept for three-level NPC converters is proposed, which is suitable for the control applications using space vector modulation; a simple and effective neutral-point voltage balancing technique is proposed within the model predictive control framework for three-level NPC converters, which decouples the neutral point voltage balance control and targets current tracking; a fixed gain filter is proposed to estimate the position, velocity, and acceleration in angular motion, with computational efficiency and less tuning effort.
More details
Series
Thesis
Doctoral thesis
2019
Technische Universität München
Language
English
Place of publication
Düren
Germany
Target group
Professional and scholarly
Product notice
Unsewn / adhesive bound
Illustrations
33
33 farbige Abbildungen
33
Dimensions
Height: 21 cm
Width: 14.8 cm
Weight
255 gr
ISBN-13
978-3-8440-7981-4 (9783844079814)
Schweitzer Classification