TY - GEN
T1 - Parameter Estimation for a VTOL UAV Using Mutant Pigeon Inspired Optimization Algorithm with Dynamic OBL Strategy
AU - Huo, Mengzhen
AU - Duan, Haibin
AU - Luo, Delin
AU - Wang, Yin
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Inertial physical parameter estimation for a VTOL Unmanned Aerial Vehicle (UAV) is helpful to the control and calibration. A mutant pigeon-inspired optimization algorithm (MPIO) is proposed in this paper, which is based on dynamic opposition-based Learning (OBL) strategy. The mutant operator with nonlinear characteristic is employed to enhance the global searching ability and accelerate the convergence speed of the globally optimal pigeon. Meanwhile, the dynamic opposition-based learning strategy is introduced to facilitate the central pigeon of the swarm to explore the potential better region. The proposed algorithm is applied to the UAV system with the data from model test. The experimental results indicate that the proposed algorithm shows better performance in converging speed and overall search ability.
AB - Inertial physical parameter estimation for a VTOL Unmanned Aerial Vehicle (UAV) is helpful to the control and calibration. A mutant pigeon-inspired optimization algorithm (MPIO) is proposed in this paper, which is based on dynamic opposition-based Learning (OBL) strategy. The mutant operator with nonlinear characteristic is employed to enhance the global searching ability and accelerate the convergence speed of the globally optimal pigeon. Meanwhile, the dynamic opposition-based learning strategy is introduced to facilitate the central pigeon of the swarm to explore the potential better region. The proposed algorithm is applied to the UAV system with the data from model test. The experimental results indicate that the proposed algorithm shows better performance in converging speed and overall search ability.
UR - https://www.scopus.com/pages/publications/85075789624
U2 - 10.1109/ICCA.2019.8899524
DO - 10.1109/ICCA.2019.8899524
M3 - 会议稿件
AN - SCOPUS:85075789624
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 669
EP - 674
BT - 2019 IEEE 15th International Conference on Control and Automation, ICCA 2019
PB - IEEE Computer Society
T2 - 15th IEEE International Conference on Control and Automation, ICCA 2019
Y2 - 16 July 2019 through 19 July 2019
ER -