Hysteresis-Estimator-Based Adaptive Fuzzy Control for Piezoelectric Micro-Positioning Stage With Time-Varying Output Constraints

IF 4.9 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems II: Express Briefs Pub Date : 2025-08-21 DOI:10.1109/TCSII.2025.3601156

Linlin Nie;Yewei Yu;Miaolei Zhou;Xiuyu Zhang;Chun-Yi Su

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Abstract

This brief addresses the high-precision motion control of piezoelectric micro-positioning stages (PMPSs) subject to time-varying output constraints, input hysteresis nonlinearity, and system uncertainties. The key features of the developed hysteresis-estimator-based adaptive fuzzy control (HEAFC) method are as follows. First, an asymmetric rate-dependent hysteresis operator is used to construct an extended fuzzy input space, enabling a fuzzy dynamic hysteresis estimator (FDHE) for real-time hysteresis estimation via adaptive fuzzy logic. Second, auxiliary functions are embedded into a backstepping-like control framework to explicitly handle time-varying output constraints. Moreover, by leveraging the structural characteristics of fuzzy systems, the HEAFC scheme avoids repeated differentiation or filtering of virtual control laws. This feature can substantially simplify the control structure. The HEAFC method guarantees prespecified constraint satisfaction and high-accuracy trajectory tracking. Lyapunov-based analysis ensures closed-loop stability, and experimental results on a PMPS demonstrate the effectiveness of the HEAFC strategy.

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基于迟滞估计的时变输出约束压电微定位台自适应模糊控制

本文简要介绍了受时变输出约束、输入滞后非线性和系统不确定性影响的压电微定位级（pmps）的高精度运动控制。所开发的基于迟滞估计器的自适应模糊控制（HEAFC）方法的主要特点如下。首先，利用非对称率相关迟滞算子构造扩展模糊输入空间，利用自适应模糊逻辑实现实时迟滞估计的模糊动态迟滞估计器（FDHE）；其次，将辅助函数嵌入到类似回溯的控制框架中，以显式处理时变输出约束。此外，利用模糊系统的结构特点，避免了虚拟控制规律的重复微分或过滤。这个特性可以大大简化控制结构。HEAFC方法保证了预先设定的约束满足和高精度的轨迹跟踪。基于lyapunov的分析确保了闭环稳定性，在PMPS上的实验结果证明了HEAFC策略的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Circuits and Systems II: Express Briefs 工程技术-工程：电子与电气

CiteScore

7.90

自引率

20.50%

发文量

883

审稿时长

3.0 months

期刊介绍： TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: Circuits: Analog, Digital and Mixed Signal Circuits and Systems Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic Circuits and Systems, Power Electronics and Systems Software for Analog-and-Logic Circuits and Systems Control aspects of Circuits and Systems.