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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Abstract: In view of the fact that the active vibration suppression process of the magnetic levitation rotor requires the real-time rotation speed of the rotor. However, in some cases, there is a problem that the rotation speed sensor fails or the rotation speed sensor cannot be installed. A method for estimating the rotation speed of the magnetic levitation rotor with a phase shift angle dual-input notch was proposed. First, the transformation relationship between the rotor generalized coordinate system and the sensor coordinate system was established through dynamic modeling of the magnetic levitation rotor. Then, through theoretical derivation, it was verified that the proposed algorithm could accurately estimate the displacement output of the magnetic levitation rotor by utilizing the mutually orthogonal characteristics of the two channels in the radial direction of the rotor. According to the rotation speed of the rotor, the rotation speed could be estimated within the entire rotation speed range by adjusting the phase shift angle. In addition, in order to improve the accuracy of the rotation speed estimation, a first-order inertia link was added to the rotation speed estimation to compensate for the estimation accuracy. Finally, the proposed algorithm was experimentally verified on the magnetic bearing platform, especially for extremely low rotational speeds of the magnetic levitation rotor. The research results show that the convergence time of the algorithm proposed was respectively increased by 0.21 s and 4.01 s at 2 400 r/min and 3 000 r/min, and the accuracy was increased by 87.4%. When the rotational speed changes, the fastest response to changes is only 0.15 s, the rotation speed can still be estimated at extremely low speeds, and the proposed algorithm can achieve fast and highprecision estimation of the rotor speed.
Key words: magnetic bearings platform; active vibration suppression of rotor; realtime rotation speed of rotor; speed estimation algorithm; rotor dynamics modeling; rotation speed sensor
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- Chinese Core Periodicals
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- Chinese Sci-tech Core Periodicals
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- SA, INSPEC Indexed
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- CSA: T Indexed
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2010 Zhejiang Information Institute of Mechinery Industry
Technical Support：Hangzhou Bory science and technology
