TY - GEN
T1 - Multi-innovation Parameter Identification Based on Coupling Auxiliary Model for Three-axis Turntable
AU - Wang, Minlin
AU - Dong, Xueming
AU - Ren, Xuemei
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper proposes a multi-innovation identification algorithm based on coupling auxiliary model for the three-axis turntable system. By introducing a shift operator, the hierarchical model of three-axis turntable is established and then transformed into three sub-identification models, which can reduce the computation complexity. With the help of coupling auxiliary model, a recursive least squares identification algorithm is designed for the sub-identification models to identify the system parameters. To further improve the convergence speed of identification process, a multi-innovation recursive identification algorithm is developed via multi-step update principle to solve the multi-innovation length problem and achieve the fast parameter identification for three-axis turntable. Experimental results based on a three-axis turntable is conducted to demonstrate the effectiveness of the proposed identification algorithm.
AB - This paper proposes a multi-innovation identification algorithm based on coupling auxiliary model for the three-axis turntable system. By introducing a shift operator, the hierarchical model of three-axis turntable is established and then transformed into three sub-identification models, which can reduce the computation complexity. With the help of coupling auxiliary model, a recursive least squares identification algorithm is designed for the sub-identification models to identify the system parameters. To further improve the convergence speed of identification process, a multi-innovation recursive identification algorithm is developed via multi-step update principle to solve the multi-innovation length problem and achieve the fast parameter identification for three-axis turntable. Experimental results based on a three-axis turntable is conducted to demonstrate the effectiveness of the proposed identification algorithm.
KW - coupling auxiliary model
KW - multi-innovation recursive identification
KW - recursive least squares identification
KW - three-axis turntable
UR - http://www.scopus.com/inward/record.url?scp=85137766562&partnerID=8YFLogxK
U2 - 10.1109/DDCLS55054.2022.9858554
DO - 10.1109/DDCLS55054.2022.9858554
M3 - Conference contribution
AN - SCOPUS:85137766562
T3 - Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022
SP - 374
EP - 379
BT - Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022
A2 - Sun, Mingxuan
A2 - Chen, Zengqiang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2022
Y2 - 3 August 2022 through 5 August 2022
ER -