{"title":"工业机器人分数阶永磁同步电机模型的二维控制","authors":"Bitao Zhang , Weicheng Zhang , Haobo Luo","doi":"10.1016/j.epsr.2025.111963","DOIUrl":null,"url":null,"abstract":"<div><div>This paper addresses the optimization of control performance for permanent magnet synchronous motors (PMSMs) applied in industrial robots. A high-performance control strategy is proposed for the Q-axis current regulation of PMSMs. Initially, a fractional-order model for the Q-axis current dynamics is constructed. A two-dimensional control system integrating adaptive learning mechanisms is designed based on repetitive process theory, incorporating a low-pass filter to ensure closed-loop stability. Subsequently, by leveraging the repetitive control's continuity property and Lyapunov stability theory, two sufficient stability criteria are formulated as linear matrix inequalities (LMIs). Using these LMI-based conditions, an iterative optimization algorithm is developed to determine the optimal combination of the low-pass filter's maximum cutoff frequency and feedback control gains. Numerical simulations and PMSM motor model validations for industrial robotic applications demonstrate that the proposed approach achieves superior control performance compared to traditional algorithms, maintaining a maximum overshoot of 0.55 % and a peak tracking error of 0.001588 under dynamic conditions.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"249 ","pages":"Article 111963"},"PeriodicalIF":4.2000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two-dimensional control of a fractional-order permanent magnet synchronous motor model for industrial robots\",\"authors\":\"Bitao Zhang , Weicheng Zhang , Haobo Luo\",\"doi\":\"10.1016/j.epsr.2025.111963\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper addresses the optimization of control performance for permanent magnet synchronous motors (PMSMs) applied in industrial robots. A high-performance control strategy is proposed for the Q-axis current regulation of PMSMs. Initially, a fractional-order model for the Q-axis current dynamics is constructed. A two-dimensional control system integrating adaptive learning mechanisms is designed based on repetitive process theory, incorporating a low-pass filter to ensure closed-loop stability. Subsequently, by leveraging the repetitive control's continuity property and Lyapunov stability theory, two sufficient stability criteria are formulated as linear matrix inequalities (LMIs). Using these LMI-based conditions, an iterative optimization algorithm is developed to determine the optimal combination of the low-pass filter's maximum cutoff frequency and feedback control gains. Numerical simulations and PMSM motor model validations for industrial robotic applications demonstrate that the proposed approach achieves superior control performance compared to traditional algorithms, maintaining a maximum overshoot of 0.55 % and a peak tracking error of 0.001588 under dynamic conditions.</div></div>\",\"PeriodicalId\":50547,\"journal\":{\"name\":\"Electric Power Systems Research\",\"volume\":\"249 \",\"pages\":\"Article 111963\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electric Power Systems Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378779625005541\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Systems Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378779625005541","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Two-dimensional control of a fractional-order permanent magnet synchronous motor model for industrial robots
This paper addresses the optimization of control performance for permanent magnet synchronous motors (PMSMs) applied in industrial robots. A high-performance control strategy is proposed for the Q-axis current regulation of PMSMs. Initially, a fractional-order model for the Q-axis current dynamics is constructed. A two-dimensional control system integrating adaptive learning mechanisms is designed based on repetitive process theory, incorporating a low-pass filter to ensure closed-loop stability. Subsequently, by leveraging the repetitive control's continuity property and Lyapunov stability theory, two sufficient stability criteria are formulated as linear matrix inequalities (LMIs). Using these LMI-based conditions, an iterative optimization algorithm is developed to determine the optimal combination of the low-pass filter's maximum cutoff frequency and feedback control gains. Numerical simulations and PMSM motor model validations for industrial robotic applications demonstrate that the proposed approach achieves superior control performance compared to traditional algorithms, maintaining a maximum overshoot of 0.55 % and a peak tracking error of 0.001588 under dynamic conditions.
期刊介绍:
Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview.
• Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation.
• Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design.
• Substation work: equipment design, protection and control systems.
• Distribution techniques, equipment development, and smart grids.
• The utilization area from energy efficiency to distributed load levelling techniques.
• Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.