Multi-innovation Parameter Identification Based on Coupling Auxiliary Model for Three-axis Turntable

Minlin Wang; Xueming Dong; Xuemei Ren

doi:10.1109/DDCLS55054.2022.9858554

Multi-innovation Parameter Identification Based on Coupling Auxiliary Model for Three-axis Turntable

Minlin Wang, Xueming Dong, Xuemei Ren

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022
Editors	Mingxuan Sun, Zengqiang Chen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	374-379
Number of pages	6
ISBN (Electronic)	9781665496759
DOIs	https://doi.org/10.1109/DDCLS55054.2022.9858554
Publication status	Published - 2022
Event	11th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2022 - Emeishan, China Duration: 3 Aug 2022 → 5 Aug 2022

Publication series

Name	Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022

Conference

Conference	11th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2022
Country/Territory	China
City	Emeishan
Period	3/08/22 → 5/08/22

Keywords

coupling auxiliary model
multi-innovation recursive identification
recursive least squares identification
three-axis turntable

Access to Document

10.1109/DDCLS55054.2022.9858554

Cite this

Wang, M., Dong, X., & Ren, X. (2022). Multi-innovation Parameter Identification Based on Coupling Auxiliary Model for Three-axis Turntable. In M. Sun, & Z. Chen (Eds.), Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022 (pp. 374-379). (Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DDCLS55054.2022.9858554

Wang, Minlin ; Dong, Xueming ; Ren, Xuemei. / Multi-innovation Parameter Identification Based on Coupling Auxiliary Model for Three-axis Turntable. Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022. editor / Mingxuan Sun ; Zengqiang Chen. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 374-379 (Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022).

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title = "Multi-innovation Parameter Identification Based on Coupling Auxiliary Model for Three-axis Turntable",

abstract = "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.",

keywords = "coupling auxiliary model, multi-innovation recursive identification, recursive least squares identification, three-axis turntable",

author = "Minlin Wang and Xueming Dong and Xuemei Ren",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 11th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2022 ; Conference date: 03-08-2022 Through 05-08-2022",

year = "2022",

doi = "10.1109/DDCLS55054.2022.9858554",

language = "English",

series = "Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "374--379",

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address = "United States",

}

Wang, M, Dong, X & Ren, X 2022, Multi-innovation Parameter Identification Based on Coupling Auxiliary Model for Three-axis Turntable. in M Sun & Z Chen (eds), Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022. Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022, Institute of Electrical and Electronics Engineers Inc., pp. 374-379, 11th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2022, Emeishan, China, 3/08/22. https://doi.org/10.1109/DDCLS55054.2022.9858554

Multi-innovation Parameter Identification Based on Coupling Auxiliary Model for Three-axis Turntable. / Wang, Minlin; Dong, Xueming; Ren, Xuemei.
Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022. ed. / Mingxuan Sun; Zengqiang Chen. Institute of Electrical and Electronics Engineers Inc., 2022. p. 374-379 (Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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.

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KW - multi-innovation recursive identification

KW - recursive least squares identification

KW - three-axis turntable

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T3 - Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022

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BT - Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022

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Wang M, Dong X, Ren X. Multi-innovation Parameter Identification Based on Coupling Auxiliary Model for Three-axis Turntable. In Sun M, Chen Z, editors, Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 374-379. (Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022). doi: 10.1109/DDCLS55054.2022.9858554

Multi-innovation Parameter Identification Based on Coupling Auxiliary Model for Three-axis Turntable

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