{"title":"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","authors":"Chen Zhang , Miaolei Zhou , Xingling Shao , Xiuyu Zhang","doi":"10.1016/j.conengprac.2025.106528","DOIUrl":null,"url":null,"abstract":"<div><div>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 <span><math><mi>Γ</mi></math></span>-scaled observer is proposed by utilizing the prescribed-time function <span><math><mrow><mi>Γ</mi><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow></mrow></math></span>. 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.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"164 ","pages":"Article 106528"},"PeriodicalIF":4.6000,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prescribed-time observer based adaptive output feedback trajectory tracking control for hysteretic systems with lumped uncertainties\",\"authors\":\"Chen Zhang , Miaolei Zhou , Xingling Shao , Xiuyu Zhang\",\"doi\":\"10.1016/j.conengprac.2025.106528\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 <span><math><mi>Γ</mi></math></span>-scaled observer is proposed by utilizing the prescribed-time function <span><math><mrow><mi>Γ</mi><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow></mrow></math></span>. 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.</div></div>\",\"PeriodicalId\":50615,\"journal\":{\"name\":\"Control Engineering Practice\",\"volume\":\"164 \",\"pages\":\"Article 106528\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Control Engineering Practice\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0967066125002904\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Control Engineering Practice","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967066125002904","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Prescribed-time observer based adaptive output feedback trajectory tracking control for hysteretic systems with lumped uncertainties
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 -scaled observer is proposed by utilizing the prescribed-time function . 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.
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.