University of Sussex
Browse
86864.pdf (3.19 MB)

Current-cycle iterative learning control for high-precision position tracking of piezoelectric actuator system via active disturbance rejection control for hysteresis compensation

Download (3.19 MB)
journal contribution
posted on 2023-06-09, 19:16 authored by Deqing Huang, Da Min, Yupei Jian, Yanan LiYanan Li
As a typical smart structure, piezoelectric actuator (PEA) is an essential constituent component in piezoelectric-driven positioning stages. Nevertheless, the positioning precision is severely degraded by its innate rate-dependent hysteretic nonlinearity. In this paper, an innovative control method which combines active disturbance rejection control (ADRC) and current-cycle iterative learning control (CILC) is proposed by constructing PEA as a second-order disturbance-based (SODB) structure to handle both hysteretic nonlinearities and dynamic uncertainties of PEA. The proposed method differs from the prevalent model-inverse solution in hysteresis compensation, where the control performance of the latter extremely relies on the accurateness of the hysteretic model while the former does not require a mathematical model of hysteresis since it is considered as a general disturbance and eliminated. Compared with the existing hysteresis compensation via pure ADRC method, the proposed method has improved robustness by incorporating an additional ILC loop to ADRC. Comparative experimentations are executed on a PEA system and results imply that the proposed approach has better control performance than pure proportionalintegral (PI) control and ADRC.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

IEEE Transactions on Industrial Electronics

ISSN

0278-0046

Publisher

Institute of Electrical and Electronics Engineers

Page range

1-1

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Dynamics, Control and Vehicle Research Group Publications

Notes

This work was supported by the National Natural Science Foundation of China under Grant 61773323 and Grant 61603316.

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2019-10-10

First Open Access (FOA) Date

2019-10-10

First Compliant Deposit (FCD) Date

2019-10-07

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC