Zhen Zhang , Yinan Guo , Song Zhu , Dunwei Gong , Feng Jiao , Xianfang Song
{"title":"Model-free and finite-time sliding-mode tracking control based on a second-order adaptive disturbance observer","authors":"Zhen Zhang , Yinan Guo , Song Zhu , Dunwei Gong , Feng Jiao , Xianfang Song","doi":"10.1016/j.isatra.2025.09.039","DOIUrl":null,"url":null,"abstract":"<div><div>In practical engineering, many control issues face the challenge of being unmodelable, rendering model-based control methods inapplicable. To address this problem, an enhanced model-free and finite-time control framework incorporating a disturbance observer and sliding-mode control is put forward. Firstly, a second-order adaptive disturbance observer is constructed using tracking error. It is capable of responding in real-time to the system’s tracking dynamics and adaptively estimating the lump disturbance, achieving collaborative improvement in estimation and tracking performance. This observer offers advantages a simple structure, few parameters, and wide applicability. Secondly, based on an established auxiliary strategy, a sliding-mode control law is designed using the virtual estimation state error of the proposed observer. This design simplifies the controller structure, ensures global sliding-mode robustness, and avoids sliding-mode chattering and high-frequency switching of the controller. Thirdly, a model-free and finite-time controller is developed by incorporating the lumped disturbance (estimated by the designed second-order adaptive disturbance observer) into the proposed sliding-mode control law through compensation, and its finite-time exponential convergence is theoretically proven. Finally, the effectiveness and superiority of the proposed method are verified through comparative experiments.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"167 ","pages":"Pages 1938-1945"},"PeriodicalIF":6.5000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825005440","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/30 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In practical engineering, many control issues face the challenge of being unmodelable, rendering model-based control methods inapplicable. To address this problem, an enhanced model-free and finite-time control framework incorporating a disturbance observer and sliding-mode control is put forward. Firstly, a second-order adaptive disturbance observer is constructed using tracking error. It is capable of responding in real-time to the system’s tracking dynamics and adaptively estimating the lump disturbance, achieving collaborative improvement in estimation and tracking performance. This observer offers advantages a simple structure, few parameters, and wide applicability. Secondly, based on an established auxiliary strategy, a sliding-mode control law is designed using the virtual estimation state error of the proposed observer. This design simplifies the controller structure, ensures global sliding-mode robustness, and avoids sliding-mode chattering and high-frequency switching of the controller. Thirdly, a model-free and finite-time controller is developed by incorporating the lumped disturbance (estimated by the designed second-order adaptive disturbance observer) into the proposed sliding-mode control law through compensation, and its finite-time exponential convergence is theoretically proven. Finally, the effectiveness and superiority of the proposed method are verified through comparative experiments.
期刊介绍:
ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.