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作 者:孙晓伟 夏安俊[2] 汪凤翔 SUN Xiaowei;XIA Anjun;WANG Fengxiang(College of Mechanical and Electrical Engineering,Fujian Agriculture and Forestry University,Fuzhou 350100,China;Quanzhou Institute of Equipment Manufacturing,Haixi Institutes,Chinese Academy of Sciences,Quanzhou 362216,China)
机构地区:[1]福建农林大学机电工程学院,福州350100 [2]中国科学院海西研究院泉州装备制造研究中心,泉州362216
出 处:《微特电机》2024年第3期33-40,共8页Small & Special Electrical Machines
摘 要:为解决有限控制集模型预测控制(FCS-MPC)运行过程中计算强度过大与计算时间过长的问题,提出了一种基于简化空间矢量调制的三电平整流器级联式无差拍控制策略,通过构建特定扇区选出最佳电压矢量。为建立精确的系统模型,深入分析三电平整流器,构建二维离散系统数学模型,基于无差拍控制理念设计了一套功率内环与电压外环的双环控制方案,并建立Luenberger观测器对电力扰动及负载变化进行精确估测与补偿,使无功功率与有功功率快速解耦和响应。结合上述系统架构,分别建立常规、单预测、简化预测FCS-MPC模型,并证明其等效性。分析不同约束变量对电压矢量决策的影响,并构建特定选择扇区设计简化的空间矢量调制策略。实验结果表明,所提控制控制策略能够在多重约束条件下改进性能,并且在保持控制效果不变的前提下,大幅度减少计算量。To address the issues of high computational intensity and prolonged computation time in the operation of finite control set model predictive control(FCS-MPC),the proposes a cascaded deadbeat control strategy for three-level rectifiers based on simplified space vector modulation,which selects the optimal voltage vector by constructing specific sectors.to establish an accurate system model,the thoroughly analyzes the three-level rectifier and constructs a two-dimensional discrete system mathematical model.Based on the deadbeat control concept,a dual-loop control scheme comprising a power inner loop and a voltage outer loop was designed.The Luenberger observers were established to precisely estimate and compensate for power disturbances and load changes,enabling rapid decoupling and response of reactive and active power.in conjunction with the aforementioned system architecture,normal,single-prediction,and simplified prediction FCS-MPC models were established and their equivalences are proven.The impact of different constraint variables on voltage vector decision was analyzed,and a simplified space vector modulation strategy was designed by constructing specific selection sectors.Experimental results demonstrate that the proposed control strategy can improve performance under multiple constraints and significantly reduce the computational load while maintaining the control effect.
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