### Abstract

Self-sensing active magnetic bearing is designed by a new approach. The approach aims to solve the observer bias problem by introducing a Kalman filter. In order to verify the validity of the approach, a Kalman filter is designed for a three-pole homopolar magnetic bearing and used to estimate the radial displacement and velocity of the rotor. The electric current is driven by a linear power-amplifier circuit to flow through the coils, and the coil terminal voltage is passed through an analog first-order low-pass filter with a cut-off frequency of 100 Hz. The designed Kalman filter uses the filtered coil-voltage and the controller inputs as an input for calculating the estimate. The unobservable bias is estimated as an unknown state, and the Kalman-filter estimates are numerically simulated by the measured input/output data. The results show that the bias is successfully estimated to overlap the estimated displacement to its measurement.

Original language | English |
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Title of host publication | 2006 SICE-ICASE International Joint Conference |

Pages | 1590-1594 |

Number of pages | 5 |

DOIs | |

Publication status | Published - 2006 |

Event | 2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of Duration: Oct 18 2006 → Oct 21 2006 |

### Other

Other | 2006 SICE-ICASE International Joint Conference |
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Country | Korea, Republic of |

City | Busan |

Period | 10/18/06 → 10/21/06 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering

### Cite this

*2006 SICE-ICASE International Joint Conference*(pp. 1590-1594). [4109221] https://doi.org/10.1109/SICE.2006.315513

**Self-sensing three-pole magnetic bearing using a Kalman filter.** / Matsuda, Koichi; Kijimoto, Shinya; Kanemitsu, Yoichi.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*2006 SICE-ICASE International Joint Conference.*, 4109221, pp. 1590-1594, 2006 SICE-ICASE International Joint Conference, Busan, Korea, Republic of, 10/18/06. https://doi.org/10.1109/SICE.2006.315513

}

TY - GEN

T1 - Self-sensing three-pole magnetic bearing using a Kalman filter

AU - Matsuda, Koichi

AU - Kijimoto, Shinya

AU - Kanemitsu, Yoichi

PY - 2006

Y1 - 2006

N2 - Self-sensing active magnetic bearing is designed by a new approach. The approach aims to solve the observer bias problem by introducing a Kalman filter. In order to verify the validity of the approach, a Kalman filter is designed for a three-pole homopolar magnetic bearing and used to estimate the radial displacement and velocity of the rotor. The electric current is driven by a linear power-amplifier circuit to flow through the coils, and the coil terminal voltage is passed through an analog first-order low-pass filter with a cut-off frequency of 100 Hz. The designed Kalman filter uses the filtered coil-voltage and the controller inputs as an input for calculating the estimate. The unobservable bias is estimated as an unknown state, and the Kalman-filter estimates are numerically simulated by the measured input/output data. The results show that the bias is successfully estimated to overlap the estimated displacement to its measurement.

AB - Self-sensing active magnetic bearing is designed by a new approach. The approach aims to solve the observer bias problem by introducing a Kalman filter. In order to verify the validity of the approach, a Kalman filter is designed for a three-pole homopolar magnetic bearing and used to estimate the radial displacement and velocity of the rotor. The electric current is driven by a linear power-amplifier circuit to flow through the coils, and the coil terminal voltage is passed through an analog first-order low-pass filter with a cut-off frequency of 100 Hz. The designed Kalman filter uses the filtered coil-voltage and the controller inputs as an input for calculating the estimate. The unobservable bias is estimated as an unknown state, and the Kalman-filter estimates are numerically simulated by the measured input/output data. The results show that the bias is successfully estimated to overlap the estimated displacement to its measurement.

UR - http://www.scopus.com/inward/record.url?scp=34250736755&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34250736755&partnerID=8YFLogxK

U2 - 10.1109/SICE.2006.315513

DO - 10.1109/SICE.2006.315513

M3 - Conference contribution

SN - 8995003855

SN - 9788995003855

SP - 1590

EP - 1594

BT - 2006 SICE-ICASE International Joint Conference

ER -