TY - GEN
T1 - Affine Formation Stabilization of multiple UAVs via Active Disturbance Rejection Control
AU - Liu, Hong
AU - Cai, Tao
AU - Yang, Qingkai
AU - Fang, Hao
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/9
Y1 - 2020/10/9
N2 - This paper studies affine formation control problem for multiple UAVs with unknown nonlinear dynamics and external disturbances. To deal with the uncertainties, we employ the active disturbance rejection control (ADRC) technique. In this scheme, all unknown quantities can be observed via the extended state observer (ESO). Based on the outputs of the ESO, a class of affine formation control protocol is designed using the stress matrix, under which the predefined time-varying formation can be achieved. It is shown that the affine formation stabilization errors as well as the estimation errors can be arbitrarily small by choosing appropriate control gains. Finally, simulation results are presented to validate the effectiveness of the proposed control strategy.
AB - This paper studies affine formation control problem for multiple UAVs with unknown nonlinear dynamics and external disturbances. To deal with the uncertainties, we employ the active disturbance rejection control (ADRC) technique. In this scheme, all unknown quantities can be observed via the extended state observer (ESO). Based on the outputs of the ESO, a class of affine formation control protocol is designed using the stress matrix, under which the predefined time-varying formation can be achieved. It is shown that the affine formation stabilization errors as well as the estimation errors can be arbitrarily small by choosing appropriate control gains. Finally, simulation results are presented to validate the effectiveness of the proposed control strategy.
UR - http://www.scopus.com/inward/record.url?scp=85098082027&partnerID=8YFLogxK
U2 - 10.1109/ICCA51439.2020.9264549
DO - 10.1109/ICCA51439.2020.9264549
M3 - Conference contribution
AN - SCOPUS:85098082027
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 29
EP - 34
BT - 2020 IEEE 16th International Conference on Control and Automation, ICCA 2020
PB - IEEE Computer Society
T2 - 16th IEEE International Conference on Control and Automation, ICCA 2020
Y2 - 9 October 2020 through 11 October 2020
ER -