| contributor author | Kato, Junya | |
| contributor author | Inoue, Tsuyoshi | |
| contributor author | Takagi, Kentaro | |
| contributor author | Yabui, Shota | |
| date accessioned | 2019-02-28T11:11:50Z | |
| date available | 2019-02-28T11:11:50Z | |
| date copyright | 5/28/2018 12:00:00 AM | |
| date issued | 2018 | |
| identifier issn | 1555-1415 | |
| identifier other | cnd_013_07_071004.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4253710 | |
| description abstract | Active magnetic bearing (AMB) is the device to support and control rotating shaft. Feedback linearization is one of the methods to compensate the system nonlinearity, and it is often used in the control of AMB. Some parameters in the electromagnetic force model have often been ignored or their parametric uncertainty from the nominal values has been calibrated; however, their influence on the stability has not been investigated. In this paper, the influence of the parametric uncertainty in the electromagnetic force model on the stability of AMB is investigated. The equilibrium positions and their stability are investigated and clarified analytically. Furthermore, the choice of the parameter value for improving the stability of AMB with feedback linearization is proposed, and its effectiveness is explained analytically. It is shown that the proposed choice of the parameter value also reduces the remained nonlinearity significantly. The validity of theoretical results and proposed choice of the parameter value are confirmed by experiment. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Nonlinear Analysis for Influence of Parametric Uncertainty on the Stability of Rotor System With Active Magnetic Bearing Using Feedback Linearization | |
| type | Journal Paper | |
| journal volume | 13 | |
| journal issue | 7 | |
| journal title | Journal of Computational and Nonlinear Dynamics | |
| identifier doi | 10.1115/1.4040128 | |
| journal fristpage | 71004 | |
| journal lastpage | 071004-9 | |
| tree | Journal of Computational and Nonlinear Dynamics:;2018:;volume( 013 ):;issue: 007 | |
| contenttype | Fulltext | |