首页|DQ变换和MUSIC算法在ITER磁体电源信号间谐波检测中的应用

DQ变换和MUSIC算法在ITER磁体电源信号间谐波检测中的应用

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随着国际热核聚变实验堆(International Thermonuclear Experimental Reactor,ITER)计划的逐步开展,保证ITER磁体电源系统的稳定运行显得尤为重要.文章采用将DQ变换和多信号分类(multiple signal classification,MUSIC)算法相结合的方法进行间谐波频率检测,信号的幅度和相位由最小二乘法来估计.DQ变换可以消除大幅度ITER基波分量,MUSIC算法可以通过矩阵特征分解检测出短数据条件下的谐波和间谐波,适用短时平稳的间谐波检测,两者相结合可以有效检测出大幅度基波附近存在小幅度间谐波.仿真实验表明,计算经DQ变换后检测出的ITER信号谐波频率时,取中间信号计算真实频谱较为正确,两侧信号则有较大的误差.
Application of DQ Transformation and MUSIC algorithm in interharmonics detection of ITER magnet power supply signal
The International Thermonuclear Experimental Reactor(ITER)Project is in progress,and it is very important to ensure the stable operation of ITER magnet power supply system.To this end,the method of combining DQ transformation and multiple signal classification(MUSIC)algorithm is used to detect the harmonic frequency,and the amplitude and phase of the signal are estimated by the least squares method.DQ transformation can eliminate large ITER fundamental components,and MUSIC algorithm can detect harmonics and interharmonics under short data conditions through matrix eigen decomposition,which is suitable for short-term smooth interharmonics detection.The combina-tion of the two can effectively detect the existence of small amplitude harmonics near large fundamen-tal waves.The simulation experiment shows that when calculating the harmonic frequency of ITER signal detected by DQ transformation,it is correct to calculate the real spectrum by intermediate sig-nal,and there is a large error on both sides.

International Thermonuclear Experimental Reactor(ITER)magnet power supply systeminterhar-monicsDQ transformationleast squares methodmultiple signal classification(MUSIC)algorithm

张文晋、马渊明、陈兴、王亚洲

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合肥工业大学微电子学院,安徽合肥 230601

国际热核聚变实验堆(ITER)磁体电源系统 间谐波 DQ变换 最小二乘法 多信号分类(MUSIC)算法

国家重点研发计划资助项目装备预研/教育部联合基金资助项目

2020YFB20089016141A02022422

2024

10.3969/j.issn.1003-5060.2024.07.008

合肥工业大学学报(自然科学版)
合肥工业大学

合肥工业大学学报(自然科学版)

CSTPCD北大核心
影响因子：0.608
ISSN：1003-5060
年,卷(期)：2024.47(7)