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CLC number: TM921
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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Optimal state feedback control of brushless direct-current motor drive systems based on Lyapunov stability criterion
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WANG Wei, JIN Ruo-jun, JIANG Jing-ping. Optimal state feedback control of brushless direct-current motor drive systems based on Lyapunov stability criterion[J]. Journal of Zhejiang University Science A, 2007, 8(12): 1889-1893.
@article{title="Optimal state feedback control of brushless direct-current motor drive systems based on Lyapunov stability criterion",
author="WANG Wei, JIN Ruo-jun, JIANG Jing-ping",
journal="Journal of Zhejiang University Science A",
volume="8",
number="12",
pages="1889-1893",
year="2007",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2007.A1889"
}
%0 Journal Article
%T Optimal state feedback control of brushless direct-current motor drive systems based on Lyapunov stability criterion
%A WANG Wei
%A JIN Ruo-jun
%A JIANG Jing-ping
%J Journal of Zhejiang University SCIENCE A
%V 8
%N 12
%P 1889-1893
%@ 1673-565X
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A1889
TY - JOUR
T1 - Optimal state feedback control of brushless direct-current motor drive systems based on Lyapunov stability criterion
A1 - WANG Wei
A1 - JIN Ruo-jun
A1 - JIANG Jing-ping
J0 - Journal of Zhejiang University Science A
VL - 8
IS - 12
SP - 1889
EP - 1893
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2007.A1889
Abstract: This paper develops a unified methodology for a real-time speed control of brushless direct-current motor drive systems in the presence of measurement noise and load torque disturbance. First, the mathematical model and hardware structure of system is established. Next, an optimal state feed back controller using the Kalman filter state estimation technique is derived. This is followed by an adaptive control algorithm to compensate for the effects of noise and disturbance. Those two algorithms working together can provide a very-high-speed regulation and dynamic response over a wide range of operating conditions. Simulated responses are presented to highlight the effectiveness of the proposed control strategy.
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