Prescribed-time observer based adaptive output feedback trajectory tracking control for hysteretic systems with lumped uncertainties

IF 4.6 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2025-08-10 DOI:10.1016/j.conengprac.2025.106528

Chen Zhang , Miaolei Zhou , Xingling Shao , Xiuyu Zhang

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引用次数: 0

Abstract

This study investigates a hysteresis model based prescribed-time output feedback control problem for magnetic shape memory alloy-based electromagnetic actuators (M-EAs), which are limited by hysteresis and lumped uncertainties (including large system uncertainty and measurement uncertainty). By analyzing the deformation mechanism of an M-EA, a third-order uncertain nonlinear model is derived to describe its characteristics. Specifically, a multi-factor coupling Prandtl–Ishlinskii (MFCPI) model is established by designing a dynamic threshold function that considers the load and frequency. Based on this, an inverse MFCPI model is designed to compensate for hysteresis. In addition, the M-EA is subject to hysteresis and lumped uncertainties that affect the dynamic performance of the system; therefore, a

Γ

-scaled observer is proposed by utilizing the prescribed-time function

Γ (t)

. This observer can counteract these uncertainties and guarantee the dynamic performance of the system. Using this observer, a prescribed-time adaptive output feedback control scheme is proposed. Finally, comparative experiments are conducted on the M-EA to validate the effectiveness of the proposed modeling and control approaches.

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集总不确定性滞回系统基于规定时间观测器的自适应输出反馈轨迹跟踪控制

针对磁形状记忆合金电磁执行器（m - ea）受迟滞和集总不确定性（包括大系统不确定性和测量不确定性）的限制，研究了基于迟滞模型的规定时间输出反馈控制问题。通过分析M-EA的变形机理，推导出一个三阶不确定非线性模型来描述其变形特性。具体而言，通过设计考虑载荷和频率的动态阈值函数，建立了多因素耦合Prandtl-Ishlinskii （MFCPI）模型。在此基础上，设计了一个逆MFCPI模型来补偿磁滞。此外，M-EA还存在滞后和集总不确定性，影响系统的动态性能；因此，利用规定时间函数Γ(t)提出了一个Γ-scaled观测器。该观测器可以抵消这些不确定性，保证系统的动态性能。利用该观测器，提出了一种定时自适应输出反馈控制方案。最后，在M-EA上进行了对比实验，验证了所提建模和控制方法的有效性。

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.