TY - GEN
T1 - Finite-time consensus tracking for large-scale multi-motor system based on second-order communication topology
AU - Zhang, Tao
AU - Yu, Dengxiu
AU - Wang, Zhen
AU - Xu, Hao
AU - Li, Shengjin
AU - Long, Jia
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This paper proposes a finite-time consensus tracking algorithm for a large-scale multi-motor system (LSMMS), which is extremely meaningful for modern automatic product lines to run continuously with high precision and efficiency. A second-order communication topology inspired by the social structure is proposed to reduce the computational complexity of the system and make it more suitable for product lines with a vast amount of motors that need to be controlled. Then, the finite-time consensus controller based on second-order communication topology for LSMMS is designed using the backstepping method, making the time costs in the tracking errors of position and velocity converging to zero finite. Simulation is given to illustrate the effectiveness of the proposed approach.
AB - This paper proposes a finite-time consensus tracking algorithm for a large-scale multi-motor system (LSMMS), which is extremely meaningful for modern automatic product lines to run continuously with high precision and efficiency. A second-order communication topology inspired by the social structure is proposed to reduce the computational complexity of the system and make it more suitable for product lines with a vast amount of motors that need to be controlled. Then, the finite-time consensus controller based on second-order communication topology for LSMMS is designed using the backstepping method, making the time costs in the tracking errors of position and velocity converging to zero finite. Simulation is given to illustrate the effectiveness of the proposed approach.
KW - backstepping
KW - finite-time consensus control
KW - large-scale multi-motor system
KW - second-order communication topology
UR - http://www.scopus.com/inward/record.url?scp=85127694254&partnerID=8YFLogxK
U2 - 10.1109/ICCSS53909.2021.9721992
DO - 10.1109/ICCSS53909.2021.9721992
M3 - 会议稿件
AN - SCOPUS:85127694254
T3 - 2021 International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2021
SP - 121
EP - 126
BT - 2021 International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2021
Y2 - 10 December 2021 through 12 December 2021
ER -