用于 PWM 转换器的 FCS-MPC 混合矢量和扇形优化研究

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Control Automation and Systems Pub Date : 2024-05-09 DOI:10.1007/s12555-022-0411-2
Shaomin Yan, Chengmin Li, Yue Cui, Lingyi Yang, Bin Cai
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引用次数: 0

摘要

电力变流器系统的有限控制集模型预测控制(FCS-MPC)策略通过矢量遍历优化算法输出单一最优矢量,存在矢量控制精度低、开关频率不固定、微处理器计算负担重等缺陷。本文针对控制频率较高的中小型功率变流器系统提出了一种混合矢量和扇区模型预测控制(HVS-MPC)策略,从三个方面改善系统性能。首先,根据基本矢量的辐射范围和目标矢量的扇区位置,采用扇区优化算法来减轻计算负担。其次,在线性调制领域采用矢量合成算法,通过矢量运行时间计算和序列设置,提高固定开关频率下的矢量控制精度。第三,为了在不增加额外计算负担的情况下提高超调制区的系统性能,提出了基于目标矢量长度和调制区的混合矢量调制算法。最后,通过实验和仿真验证了所提出的策略。
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Study on Hybrid Vector and Sector Optimization of FCS-MPC for PWM Converter

Finite control set model predictive control (FCS-MPC) strategy for power converter system outputs single optimal vector by vector ergodic optimization algorithm, with flaws of low vector control accuracy, unfixed switching frequency and high computational burden for microprocessor. In this paper, a hybrid vector and sector model predictive control (HVS-MPC) strategy is proposed for medium and small power converter systems with high control frequency to improve system performance on three aspects. First, a sector optimization algorithm is adopted to reduce computational burden according to radiation range of basic vector and sector location of target vector. Second, a vector synthesis algorithm is adopted in linear modulation area to improve vector control accuracy with fixed switching frequency by vector operation time calculation and sequence setting. Third, in order to improve system performance in over modulation area without extra computational burden, the hybrid vector modulation algorithm is proposed based on target vector length and modulation area. Finally, the proposed strategy is verified through experiment and simulation.

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来源期刊
International Journal of Control Automation and Systems
International Journal of Control Automation and Systems 工程技术-自动化与控制系统
CiteScore
5.80
自引率
21.90%
发文量
343
审稿时长
8.7 months
期刊介绍: International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE). The journal covers three closly-related research areas including control, automation, and systems. The technical areas include Control Theory Control Applications Robotics and Automation Intelligent and Information Systems The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.
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