Huang, Deqing, Min, Da, Jian, Yupei and Li, Yanan (2019) Current-cycle iterative learning control for high-precision position tracking of piezoelectric actuator system via active disturbance rejection control for hysteresis compensation. IEEE Transactions on Industrial Electronics. p. 1. ISSN 0278-0046

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Abstract

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.

Item Type:	Article
Additional Information:	This work was supported by the National Natural Science Foundation of China under Grant 61773323 and Grant 61603316.
Keywords:	active disturbance rejection control (ADRC), hysteresis compensation, current-cycle iterative learning control (CILC), tracking precision, piezoelectric actuator (PEA).
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Research Centres and Groups:	Dynamics, Control and Vehicle Research Group
Depositing User:	Lucy Arnold
Date Deposited:	10 Oct 2019 13:12
Last Modified:	26 Nov 2019 14:15
URI:	http://sro.sussex.ac.uk/id/eprint/86864

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