Abstract
PHOENIX is a 2U CubeSat, which was designed, assembled, integrated, tested and operated by National Cheng Kung University (NCKU), Taiwan. After the deployment from International Space Station (ISS) in May 2017, a series of attitude control processes has been implemented by the satellite operators to make PHOENIX align with orbit-reference frame for the scientific research. However, it was found that the results of in-flight attitude estimation were discordant with the observation of magnetometer data and scientific sensor measurements. To confirm and resolve such issues about the attitude determination and control subsystem (ADCS), attitude and angular rate reconstruction had to be implemented by analysing the in-flight sensor data from PHOENIX CubeSat. Moreover, owing to some limitations, all the in-flight data were recorded at a low sampling rate with interval of 60 seconds, which was viewed as the major challenge for the post attitude estimation. This paper presents an estimation method for the reconstruction of attitude behavior with low sampling rate and intermittent magnetometer data from PHOENIX based on extended Kalman filter (EKF). A novel model and architecture is applied to deal with the long period of measurement update. Finally, the result of 3-axis angular rate reconstruction shows similar estimates with the rate sensor measurements. With the proposed angular rate reconstruction approach, it is believed to be beneficial for optimizing the parameters like moment of inertia and state noise covariance. This, in turns, leads to the better performance of attitude control laws, attitude estimators, and the in-flight ADCS operation.
| Original language | English |
|---|---|
| Journal | Proceedings of the International Astronautical Congress, IAC |
| Volume | 2018-October |
| Publication status | Published - 2018 Jan 1 |
| Event | 69th International Astronautical Congress: #InvolvingEveryone, IAC 2018 - Bremen, Germany Duration: 2018 Oct 1 → 2018 Oct 5 |
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All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Astronomy and Astrophysics
- Space and Planetary Science
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Ground-based angular rate reconstruction with intermittent magnetometer data from Phoenix Cubesat. / Hong, Ming Yang; Huang, Ming Xian; Juang, Jyh-Chin.
In: Proceedings of the International Astronautical Congress, IAC, Vol. 2018-October, 01.01.2018.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Ground-based angular rate reconstruction with intermittent magnetometer data from Phoenix Cubesat
AU - Hong, Ming Yang
AU - Huang, Ming Xian
AU - Juang, Jyh-Chin
PY - 2018/1/1
Y1 - 2018/1/1
N2 - PHOENIX is a 2U CubeSat, which was designed, assembled, integrated, tested and operated by National Cheng Kung University (NCKU), Taiwan. After the deployment from International Space Station (ISS) in May 2017, a series of attitude control processes has been implemented by the satellite operators to make PHOENIX align with orbit-reference frame for the scientific research. However, it was found that the results of in-flight attitude estimation were discordant with the observation of magnetometer data and scientific sensor measurements. To confirm and resolve such issues about the attitude determination and control subsystem (ADCS), attitude and angular rate reconstruction had to be implemented by analysing the in-flight sensor data from PHOENIX CubeSat. Moreover, owing to some limitations, all the in-flight data were recorded at a low sampling rate with interval of 60 seconds, which was viewed as the major challenge for the post attitude estimation. This paper presents an estimation method for the reconstruction of attitude behavior with low sampling rate and intermittent magnetometer data from PHOENIX based on extended Kalman filter (EKF). A novel model and architecture is applied to deal with the long period of measurement update. Finally, the result of 3-axis angular rate reconstruction shows similar estimates with the rate sensor measurements. With the proposed angular rate reconstruction approach, it is believed to be beneficial for optimizing the parameters like moment of inertia and state noise covariance. This, in turns, leads to the better performance of attitude control laws, attitude estimators, and the in-flight ADCS operation.
AB - PHOENIX is a 2U CubeSat, which was designed, assembled, integrated, tested and operated by National Cheng Kung University (NCKU), Taiwan. After the deployment from International Space Station (ISS) in May 2017, a series of attitude control processes has been implemented by the satellite operators to make PHOENIX align with orbit-reference frame for the scientific research. However, it was found that the results of in-flight attitude estimation were discordant with the observation of magnetometer data and scientific sensor measurements. To confirm and resolve such issues about the attitude determination and control subsystem (ADCS), attitude and angular rate reconstruction had to be implemented by analysing the in-flight sensor data from PHOENIX CubeSat. Moreover, owing to some limitations, all the in-flight data were recorded at a low sampling rate with interval of 60 seconds, which was viewed as the major challenge for the post attitude estimation. This paper presents an estimation method for the reconstruction of attitude behavior with low sampling rate and intermittent magnetometer data from PHOENIX based on extended Kalman filter (EKF). A novel model and architecture is applied to deal with the long period of measurement update. Finally, the result of 3-axis angular rate reconstruction shows similar estimates with the rate sensor measurements. With the proposed angular rate reconstruction approach, it is believed to be beneficial for optimizing the parameters like moment of inertia and state noise covariance. This, in turns, leads to the better performance of attitude control laws, attitude estimators, and the in-flight ADCS operation.
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M3 - Conference article
VL - 2018-October
JO - Proceedings of the International Astronautical Congress, IAC
JF - Proceedings of the International Astronautical Congress, IAC
SN - 0074-1795
ER -