Resonance suppression strategy for blade rotor/AMB unit of composite TMP

Nan Chyuan Tsai, Hsin Lin Chiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A novel design of Composite Turbo-Molecular Pump (CTMP) is proposed. The major configuration of CTMP is composed by a coarse pump, a Turbo-Molecular Pump (TMP) and a Magnetic Gear Unit (MGU) capable of speed amplification. The corresponding modal analysis and the study on rotor/bearing dynamics are undertaken at first to estimate the resonance frequencies of the TMP blade rotor itself solely and the interactive dynamics of Blade Rotor/Radial Active Magnetic Bearing (BR/RAMB) subsystem. Secondly, an appropriate interval of stiffness provided and tuned by the RAMB is presented to make the TMP blade rotor able to actively retain speed margin at least 10% away from the resonance frequencies of the closed-loop control system. Thirdly, an economical and efficient method by adjusting the angular acceleration speed of BR, namely Resonance-Driven Prevention Strategy (RDPS), is proposed to avoid the undesired excitation at resonance frequencies of BR/RAMB system and potential instability. Finally, by intensive computer simulations, the proposed RDPS indeed manifests its outstanding performance to efficiently skip or bypass the natural frequencies of the closed-loop system within a very short time period and guarantee, to a certain extent, the system stability.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1688-1693
Number of pages6
ISBN (Electronic)9781509059980
DOIs
Publication statusPublished - 2017 Aug 21
Event2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 - Munich, Germany
Duration: 2017 Jul 32017 Jul 7

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Other

Other2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
CountryGermany
CityMunich
Period17-07-0317-07-07

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Software

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