TY - GEN
T1 - Identification modeling based on RBFNN for an aerial inertially stabilized platform
AU - Zhou, Xiangyang
AU - Wang, Weiqian
AU - Shi, Yanjun
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/3
Y1 - 2021/7/3
N2 - Aiming at the serious influence of multi-source disturbances on the control precision of inertially stabilized platform (ISP), an accurate identification modeling method based on RBFNN for the ISP system is proposed. Since the ISP control system under the multi-source disturbances is a nonlinear, parameters uncertain, and time-varying system, the conventional modeling method cannot accurately describe the system characteristics. Therefore, more accurate modeling should be conducted. In the proposed modeling method, an off-line/on-line composite identification method is proposed to ensure the real-time performance in the dynamic adjustment process of the model, and the basis for the design of adaptive controller is designed. Besides, the simulation analysis and the experimental validation are performed and consistent conclusions are gotten.
AB - Aiming at the serious influence of multi-source disturbances on the control precision of inertially stabilized platform (ISP), an accurate identification modeling method based on RBFNN for the ISP system is proposed. Since the ISP control system under the multi-source disturbances is a nonlinear, parameters uncertain, and time-varying system, the conventional modeling method cannot accurately describe the system characteristics. Therefore, more accurate modeling should be conducted. In the proposed modeling method, an off-line/on-line composite identification method is proposed to ensure the real-time performance in the dynamic adjustment process of the model, and the basis for the design of adaptive controller is designed. Besides, the simulation analysis and the experimental validation are performed and consistent conclusions are gotten.
UR - https://www.scopus.com/pages/publications/85116255075
U2 - 10.1109/ICARM52023.2021.9536180
DO - 10.1109/ICARM52023.2021.9536180
M3 - 会议稿件
AN - SCOPUS:85116255075
T3 - 2021 6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021
SP - 283
EP - 287
BT - 2021 6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021
Y2 - 3 July 2021 through 5 July 2021
ER -