{"title":"A novel robust control for permanent magnet synchronous motor integrating deadbeat predictive current control and sliding mode observer","authors":"Xiaozhuo Xu , Liangjie Wang , Zan Zhang , Zhonghua Wu","doi":"10.1016/j.aej.2025.08.057","DOIUrl":null,"url":null,"abstract":"<div><div>To address parameter mismatch and external load disturbance in permanent magnet synchronous motor (PMSM), a novel robust control for PMSM integrating deadbeat predictive current control (DPCC) and sliding mode observer (SMO) (NRCIDS) is proposed. Firstly, the mathematical models characterized by the PMSM dynamics and DPCC algorithm are derived. Subsequently, the robustness of DPCC against parameter variations is systematically investigated. Secondly, in the speed loop, the load disturbance is compensated by a speed loop disturbance observer. In order to reduce the chattering phenomenon of the conventional SMO, an improved exponential convergence law SMO is adopted. The dynamic response of the speed is improved by this approach, while the chattering phenomenon inherent in traditional SMO is significantly mitigated. Meanwhile, in the current loop, motor parameter disturbances are compensated by a novel terminal SMO. The proposed terminal observer suppresses chattering while it effectively reduces steady-state current error. The speed loop and current loop disturbance observers collaboratively compensate for system disturbances, thereby enhancing overall control performance. Finally, experimental results demonstrate that the proposed control strategy achieves superior performance in terms of dynamic response speed, disturbance suppression, and steady-state accuracy.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"130 ","pages":"Pages 57-67"},"PeriodicalIF":6.8000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"alexandria engineering journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1110016825009548","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
To address parameter mismatch and external load disturbance in permanent magnet synchronous motor (PMSM), a novel robust control for PMSM integrating deadbeat predictive current control (DPCC) and sliding mode observer (SMO) (NRCIDS) is proposed. Firstly, the mathematical models characterized by the PMSM dynamics and DPCC algorithm are derived. Subsequently, the robustness of DPCC against parameter variations is systematically investigated. Secondly, in the speed loop, the load disturbance is compensated by a speed loop disturbance observer. In order to reduce the chattering phenomenon of the conventional SMO, an improved exponential convergence law SMO is adopted. The dynamic response of the speed is improved by this approach, while the chattering phenomenon inherent in traditional SMO is significantly mitigated. Meanwhile, in the current loop, motor parameter disturbances are compensated by a novel terminal SMO. The proposed terminal observer suppresses chattering while it effectively reduces steady-state current error. The speed loop and current loop disturbance observers collaboratively compensate for system disturbances, thereby enhancing overall control performance. Finally, experimental results demonstrate that the proposed control strategy achieves superior performance in terms of dynamic response speed, disturbance suppression, and steady-state accuracy.
期刊介绍:
Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification:
• Mechanical, Production, Marine and Textile Engineering
• Electrical Engineering, Computer Science and Nuclear Engineering
• Civil and Architecture Engineering
• Chemical Engineering and Applied Sciences
• Environmental Engineering