Predictive deviation filter for deadbeat control

Deadbeat control calculates excitation by a differential equation model that takes measurements of state variables as initial values and instructions as terminal values. Ideally, this excitation can force state variables to track instructions in the succeeding control interval. However, in a practic...

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Vydáno v:IET electric power applications Ročník 14; číslo 6; s. 1041 - 1049
Hlavní autoři: Wang, Zitan, Chai, Jianyun, Sun, Xudong, Lu, Haifeng
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 01.06.2020
Témata:
comprehensive frequency‐domain analysis
control system
deadbeat control
differential equation model
differential equations
drive control
filter delay
filtering algorithm
filtering theory
frequency‐domain analysis
machine control
permanent magnet motors
permanent magnet synchronous motor
predicted deviation
predictive deviation filter
Research Article
state variables
synchronous motor drives
terminal values
machine control
deadbeat control
filtering theory
filter delay
drive control
comprehensive frequency-domain analysis
frequency-domain analysis
differential equation model
differential equations
predicted deviation
predictive deviation filter
terminal values
permanent magnet synchronous motor
synchronous motor drives
state variables
control system
filtering algorithm
permanent magnet motors
ISSN:1751-8660, 1751-8679, 1751-8679
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Popis
Shrnutí:Deadbeat control calculates excitation by a differential equation model that takes measurements of state variables as initial values and instructions as terminal values. Ideally, this excitation can force state variables to track instructions in the succeeding control interval. However, in a practical system, noises in measured signals can mislead the control system and degrade its performance with increased ripples and harmonics. Therefore, some filters are often used in measurements, but their inherent delay can lead to inaccurate initial values and cause severe overshoots in dynamic cases. In this study, a new type filtering algorithm called predictive deviation filter is proposed for deadbeat control, which filters only the predicted deviation obtained by removing the expected values from measured ones, and then the real values of state variables are recovered. With this method, the influence of the filter delay can be limited only on the deviation which is a small part of the signal, significantly improving the accuracy of the initial values. Furthermore, a comprehensive frequency-domain analysis of the predictive deviation filter is provided. Finally, the new filtering algorithm is applied to drive control of permanent magnet synchronous motor. The simulation and experimental results verify the effectiveness and performance of this approach.
ISSN:1751-8660
1751-8679
1751-8679
DOI:10.1049/iet-epa.2019.0518