TY - GEN
T1 - Discussion on Adaptive Estimation Approach for Bounded Disturbances with Simple Structure∗
AU - Guo, Zongyi
AU - Guo, Jianguo
AU - Zhao, Jinlong
AU - Zhou, Jun
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - This paper discusses a novel adaptive disturbance observer (ADO) for systems subjected to bounded disturbances. The gains with adaptation are given, and the estimate error of the disturbance is guaranteed to be ultimately stable. The proposed ADO is capable of achieving a better dynamic per-formance compared with the standard linear DO. As a trade-off, it outperforms other DOs and reduces the control burden simultaneously. Moreover, the ADO has a simpler structure than the nonlinear DO because of its linear representation. Simulation results verifies the effectiveness and superiority of the proposed approach, and application to the attitude tracking for the hypersonic reentry vehicle (HRV) is also presented.
AB - This paper discusses a novel adaptive disturbance observer (ADO) for systems subjected to bounded disturbances. The gains with adaptation are given, and the estimate error of the disturbance is guaranteed to be ultimately stable. The proposed ADO is capable of achieving a better dynamic per-formance compared with the standard linear DO. As a trade-off, it outperforms other DOs and reduces the control burden simultaneously. Moreover, the ADO has a simpler structure than the nonlinear DO because of its linear representation. Simulation results verifies the effectiveness and superiority of the proposed approach, and application to the attitude tracking for the hypersonic reentry vehicle (HRV) is also presented.
UR - http://www.scopus.com/inward/record.url?scp=85075789199&partnerID=8YFLogxK
U2 - 10.1109/ICCA.2019.8899538
DO - 10.1109/ICCA.2019.8899538
M3 - 会议稿件
AN - SCOPUS:85075789199
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 1185
EP - 1189
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 -