TY - GEN
T1 - Research on the Selection Method of PFC Parameters
AU - Wu, Bi
AU - Hu, Boxin
AU - Ji, Haibo
AU - Deng, Hongbin
AU - Hao, Kuo
AU - Chen, Shuzhao
N1 - Publisher Copyright:
© 2023, Beijing HIWING Sci. and Tech. Info Inst.
PY - 2023
Y1 - 2023
N2 - In recent years, reusable launch vehicles have developed vigorously. The predictive function control (PFC) method provides a solution that can overcome the problems of strong nonlinearity, high dynamics and strong interference. However, there are some parameters in the PFC algorithm that need to be selected based on experience, which is not conducive to controller design. Aiming at the problem of PFC parameter selection, this paper proposes a parameter selection method based on the coefficient diagram method (CDM) and Manabe standard type, fully analyzes and verifies the effectiveness and reliability of the method, and provides a certain basis for the selection of PFC control parameters. The proposed method makes parameters selection of PFC more reliable and convenient.
AB - In recent years, reusable launch vehicles have developed vigorously. The predictive function control (PFC) method provides a solution that can overcome the problems of strong nonlinearity, high dynamics and strong interference. However, there are some parameters in the PFC algorithm that need to be selected based on experience, which is not conducive to controller design. Aiming at the problem of PFC parameter selection, this paper proposes a parameter selection method based on the coefficient diagram method (CDM) and Manabe standard type, fully analyzes and verifies the effectiveness and reliability of the method, and provides a certain basis for the selection of PFC control parameters. The proposed method makes parameters selection of PFC more reliable and convenient.
KW - Coefficient diagram method
KW - Manabe standard type
KW - Predictive function control
KW - Reusable launch vehicles
UR - http://www.scopus.com/inward/record.url?scp=85151046134&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-0479-2_20
DO - 10.1007/978-981-99-0479-2_20
M3 - Conference contribution
AN - SCOPUS:85151046134
SN - 9789819904785
T3 - Lecture Notes in Electrical Engineering
SP - 214
EP - 222
BT - Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
A2 - Fu, Wenxing
A2 - Gu, Mancang
A2 - Niu, Yifeng
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Autonomous Unmanned Systems, ICAUS 2022
Y2 - 23 September 2022 through 25 September 2022
ER -