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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Abstract	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.
AbstractList	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.
Author	Sun, Xudong Wang, Zitan Lu, Haifeng Chai, Jianyun
Author_xml	– sequence: 1 givenname: Zitan surname: Wang fullname: Wang, Zitan email: wangzt_tanya@163.com organization: Department of Electrical Engineering, Tsinghua University, Hai Dian, Beijing, People's Republic of China – sequence: 2 givenname: Jianyun surname: Chai fullname: Chai, Jianyun organization: Department of Electrical Engineering, Tsinghua University, Hai Dian, Beijing, People's Republic of China – sequence: 3 givenname: Xudong surname: Sun fullname: Sun, Xudong organization: Department of Electrical Engineering, Tsinghua University, Hai Dian, Beijing, People's Republic of China – sequence: 4 givenname: Haifeng surname: Lu fullname: Lu, Haifeng organization: Department of Electrical Engineering, Tsinghua University, Hai Dian, Beijing, People's Republic of China
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Cites_doi	10.1109/TPEL.2017.2697971 10.1109/41.720325 10.1109/TIE.2016.2527692 10.1109/TIE.2007.907674 10.1109/TPEL.2002.807131 10.1109/TII.2016.2603922 10.1109/TIE.2007.891767 10.1109/JESTPE.2018.2796123 10.1109/ITEC-AP.2017.8080902 10.1109/TIE.2011.2179277 10.1109/41.793335 10.1109/ICIT.2015.7125444 10.1109/TIE.2008.2007480 10.1109/CYBERI.2016.7438609 10.1109/TIE.2015.2442525 10.1109/EPE.2013.6631813 10.1109/TIE.2009.2018429 10.1109/TIE.2009.2016513 10.1109/TIE.2015.2497303 10.1109/TII.2017.2758393 10.1109/TIE.2009.2015748
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Keywords	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
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China Electrotech. Soc. – ident: e_1_2_8_19_1 doi: 10.1109/TII.2017.2758393 – ident: e_1_2_8_21_1 doi: 10.1109/TIE.2009.2015748
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SubjectTerms	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
Title	Predictive deviation filter for deadbeat control
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