{"title":"Cascaded Deadbeat Predictive Control for the Unipolar Sinusoidal Excited SRMs Based on the Adaptive Fading Kalman Filter","authors":"Di Liu, Yunsheng Fan, Jian Liu, Guofeng Wang","doi":"10.1007/s42835-024-02005-4","DOIUrl":null,"url":null,"abstract":"<p>In this paper, a novel cascaded predictive control strategy, endowed with the merits of the deadbeat predictive control solution and Kalman filter framework, is proposed for unipolar sinusoidal excited switched reluctance motors. The primary aim is to augment the dynamic performance of the system while ensuring robustness across various conditions. To achieve this objective, a Kalman filter is meticulously implemented and integrated into the deadbeat predictive current control strategy (DPCC). This integration facilitates a comprehensive consideration of the system’s nonlinear dynamics and measurement noise, thereby reducing the DPCC’s reliance on precise model parameter information. This advancement significantly bolsters the robustness and flexibility of the control system in various operational contexts. Simultaneously, to enhance the dynamic performance of the speed control mechanism and robustness, a deadbeat predictive speed control strategy (DPSC) integrating a novel adaptive fading Kalman filter (AFKF) is proposed. Within the AFKF, a modified fading factor selection method is employed, which contributes to the enhanced convergence speed, thereby optimizing the dynamic performance of the DPSC strategy. Finally, detailed comparative simulations and experiments are undertaken to verify the theoretical framework’s feasibility and to substantiate the performance enhancements ascribed to the proposed control strategy.</p>","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"40 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical Engineering & Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s42835-024-02005-4","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a novel cascaded predictive control strategy, endowed with the merits of the deadbeat predictive control solution and Kalman filter framework, is proposed for unipolar sinusoidal excited switched reluctance motors. The primary aim is to augment the dynamic performance of the system while ensuring robustness across various conditions. To achieve this objective, a Kalman filter is meticulously implemented and integrated into the deadbeat predictive current control strategy (DPCC). This integration facilitates a comprehensive consideration of the system’s nonlinear dynamics and measurement noise, thereby reducing the DPCC’s reliance on precise model parameter information. This advancement significantly bolsters the robustness and flexibility of the control system in various operational contexts. Simultaneously, to enhance the dynamic performance of the speed control mechanism and robustness, a deadbeat predictive speed control strategy (DPSC) integrating a novel adaptive fading Kalman filter (AFKF) is proposed. Within the AFKF, a modified fading factor selection method is employed, which contributes to the enhanced convergence speed, thereby optimizing the dynamic performance of the DPSC strategy. Finally, detailed comparative simulations and experiments are undertaken to verify the theoretical framework’s feasibility and to substantiate the performance enhancements ascribed to the proposed control strategy.
期刊介绍:
ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies.
The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.