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作 者:谢宗楚 麻宸伟 冯荣 郭冀岭[1] 宋文胜[1] XIE Zongchu;MA Chenwei;FENG Rong;GUO Jiling;SONG Wensheng(School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,Sichuan Province,China)
机构地区:[1]西南交通大学电气工程学院,四川省成都市610031
出 处:《中国电机工程学报》2024年第13期5319-5327,I0025,共10页Proceedings of the CSEE
摘 要:针对传统电流梯度更新的无参数预测电流控制(parameter-free predictive current control,PFPCC)存在电流梯度更新停滞及电流脉动大的问题,提出一种基于离散空间矢量调制(discrete space vector modulation,DSVM)的PFPCC优化方法。首先,通过分析不同电压矢量在α-β轴上的电流梯度关系,得到相邻两个控制周期内各电压矢量与电流梯度的数学关系;然后,在一个控制周期内更新所有电压矢量的电流梯度,有效减小了传统PFPCC中的停滞效应。为了进一步减小电流脉动,将DSVM引入到所提方法中。结合DSVM选矢量的方式,以较小计算量即可将所有的电流梯度更新,从而保证电流预测的可靠性和准确性。实验结果表明:所提PFPCC方法与基于模型的预测电流控制相比,具有类似的动静态性能。与单矢量PFPCC相比,DSVM-PFPCC方法在保证动静态性能的同时,能够显著减小电流脉动,提高在实际系统中的控制性能。Traditional parameter-free predictive current control(PFPCC)based on current gradient update has these problems of stagnant current gradient update and large current ripple.To solve these problems,this paper proposes an optimized PFPCC method based on discrete space vector modulation(DSVM).Firstly,by analyzing the current gradient relationship of different voltage vectors on theα-βaxis,the mathematical relationship between each voltage vector and current gradient in two adjacent control periods is obtained.Then,the current gradients of all voltage vectors are updated in one control cycle,which effectively reduces the stagnation effect in traditional PFPCC.In order to further reduce the current ripple,DSVM is introduced into the proposed method.Here,combined with the vector selection method of DSVM,all current gradients can be updated with a small amount of calculation,thus ensuring the reliability and accuracy of current prediction.The experimental results show that the proposed PFPCC method has similar dynamic and static performance compared with model-based predictive current control(MBPCC).Compared with single-vector PFPCC,the DSVM-PFPCC can obviously reduce the current ripple,and improve the control performance in the actual system while ensuring the dynamic and static performance.
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