{"title":"一种用于永磁同步电机模型预测控制的优化算法","authors":"Bulai Wang, Jingheng Zhu, Zixin Li, Yecheng Li","doi":"10.1587/elex.20.20230444","DOIUrl":null,"url":null,"abstract":"To improve the operational performance of Permanent Magnet Synchronous Motors (PMSM), a new voltage optimization algorithm is proposed. This algorithm is based on Particle Swarm Optimization (PSO) and incorporates two improvements: online optimization and secondary optimization. The improved PSO (IPSO) algorithm is applied to Dual-Vector Model Predictive Control (DVMPCC) for simulation and experimental research. The results show that, compared to DVMPCC, with similar speed response, the current ripple is reduced by 16.22% and the steady-state speed fluctuation is reduced by 65.14%. This indicates that the proposed algorithm is feasible and effectively improves the operational performance of the system.","PeriodicalId":50387,"journal":{"name":"Ieice Electronics Express","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An optimization algorithm used in PMSM model predictive control\",\"authors\":\"Bulai Wang, Jingheng Zhu, Zixin Li, Yecheng Li\",\"doi\":\"10.1587/elex.20.20230444\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve the operational performance of Permanent Magnet Synchronous Motors (PMSM), a new voltage optimization algorithm is proposed. This algorithm is based on Particle Swarm Optimization (PSO) and incorporates two improvements: online optimization and secondary optimization. The improved PSO (IPSO) algorithm is applied to Dual-Vector Model Predictive Control (DVMPCC) for simulation and experimental research. The results show that, compared to DVMPCC, with similar speed response, the current ripple is reduced by 16.22% and the steady-state speed fluctuation is reduced by 65.14%. This indicates that the proposed algorithm is feasible and effectively improves the operational performance of the system.\",\"PeriodicalId\":50387,\"journal\":{\"name\":\"Ieice Electronics Express\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ieice Electronics Express\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1587/elex.20.20230444\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ieice Electronics Express","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1587/elex.20.20230444","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
An optimization algorithm used in PMSM model predictive control
To improve the operational performance of Permanent Magnet Synchronous Motors (PMSM), a new voltage optimization algorithm is proposed. This algorithm is based on Particle Swarm Optimization (PSO) and incorporates two improvements: online optimization and secondary optimization. The improved PSO (IPSO) algorithm is applied to Dual-Vector Model Predictive Control (DVMPCC) for simulation and experimental research. The results show that, compared to DVMPCC, with similar speed response, the current ripple is reduced by 16.22% and the steady-state speed fluctuation is reduced by 65.14%. This indicates that the proposed algorithm is feasible and effectively improves the operational performance of the system.
期刊介绍:
An aim of ELEX is rapid publication of original, peer-reviewed short papers that treat the field of modern electronics and electrical engineering. The boundaries of acceptable fields are not strictly delimited and they are flexibly varied to reflect trends of the fields. The scope of ELEX has mainly been focused on device and circuit technologies. Current appropriate topics include:
- Integrated optoelectronics (lasers and optoelectronic devices, silicon photonics, planar lightwave circuits, polymer optical circuits, etc.)
- Optical hardware (fiber optics, microwave photonics, optical interconnects, photonic signal processing, photonic integration and modules, optical sensing, etc.)
- Electromagnetic theory
- Microwave and millimeter-wave devices, circuits, and modules
- THz devices, circuits and modules
- Electron devices, circuits and modules (silicon, compound semiconductor, organic and novel materials)
- Integrated circuits (memory, logic, analog, RF, sensor)
- Power devices and circuits
- Micro- or nano-electromechanical systems
- Circuits and modules for storage
- Superconducting electronics
- Energy harvesting devices, circuits and modules
- Circuits and modules for electronic displays
- Circuits and modules for electronic instrumentation
- Devices, circuits and modules for IoT and biomedical applications