{"title":"基于固定时间扰动观测器的变增益永磁同步电机自适应超扭滑模单环控制","authors":"Yongzhi Chen , Xudong Liu","doi":"10.1016/j.cnsns.2025.109355","DOIUrl":null,"url":null,"abstract":"<div><div>Aiming at improving the speed control performance of permanent magnet synchronous motors (PMSMs) considering lumped disturbances and overcurrent protection, a novel adaptive super-twisting sliding mode control (ASTSMC) strategy based on fixed-time disturbance observer (FTDO) is proposed in this paper. Firstly, to achieve fast speed tracking and current constraint, the equivalent model considering the q-axial current constraints is established. Secondly, a new adaptive super-twisting sliding mode single-loop controller with variable gains is proposed. The convergence speed is accelerated, and the transient performance is improved. Meanwhile, to improve the robustness against the external disturbances and parameter uncertainties, a fixed-time disturbance observer is firstly applied to estimate the lumped disturbances for the single-loop control of PMSM. Subsequently, based on the Lyapunov theory, the stability of the control system is analyzed, and the convergence time is calculated. Finally, the superiority and effectiveness of the proposed control scheme are verified through a series of comparative experiments.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"152 ","pages":"Article 109355"},"PeriodicalIF":3.8000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fixed-time disturbance observer based adaptive super-twisting sliding mode single-loop control of PMSM drives with variable gains\",\"authors\":\"Yongzhi Chen , Xudong Liu\",\"doi\":\"10.1016/j.cnsns.2025.109355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Aiming at improving the speed control performance of permanent magnet synchronous motors (PMSMs) considering lumped disturbances and overcurrent protection, a novel adaptive super-twisting sliding mode control (ASTSMC) strategy based on fixed-time disturbance observer (FTDO) is proposed in this paper. Firstly, to achieve fast speed tracking and current constraint, the equivalent model considering the q-axial current constraints is established. Secondly, a new adaptive super-twisting sliding mode single-loop controller with variable gains is proposed. The convergence speed is accelerated, and the transient performance is improved. Meanwhile, to improve the robustness against the external disturbances and parameter uncertainties, a fixed-time disturbance observer is firstly applied to estimate the lumped disturbances for the single-loop control of PMSM. Subsequently, based on the Lyapunov theory, the stability of the control system is analyzed, and the convergence time is calculated. Finally, the superiority and effectiveness of the proposed control scheme are verified through a series of comparative experiments.</div></div>\",\"PeriodicalId\":50658,\"journal\":{\"name\":\"Communications in Nonlinear Science and Numerical Simulation\",\"volume\":\"152 \",\"pages\":\"Article 109355\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Nonlinear Science and Numerical Simulation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1007570425007646\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425007646","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Fixed-time disturbance observer based adaptive super-twisting sliding mode single-loop control of PMSM drives with variable gains
Aiming at improving the speed control performance of permanent magnet synchronous motors (PMSMs) considering lumped disturbances and overcurrent protection, a novel adaptive super-twisting sliding mode control (ASTSMC) strategy based on fixed-time disturbance observer (FTDO) is proposed in this paper. Firstly, to achieve fast speed tracking and current constraint, the equivalent model considering the q-axial current constraints is established. Secondly, a new adaptive super-twisting sliding mode single-loop controller with variable gains is proposed. The convergence speed is accelerated, and the transient performance is improved. Meanwhile, to improve the robustness against the external disturbances and parameter uncertainties, a fixed-time disturbance observer is firstly applied to estimate the lumped disturbances for the single-loop control of PMSM. Subsequently, based on the Lyapunov theory, the stability of the control system is analyzed, and the convergence time is calculated. Finally, the superiority and effectiveness of the proposed control scheme are verified through a series of comparative experiments.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
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