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基于三相逆变器变开关频率和变直流母线电压的PMSM控制

PMSM control of three‑phase inverter with variable switching frequency and DC bus variable voltage
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摘要 针对三相电压源逆变器应用固定开关频率和额定直流母线电压的空间矢量脉宽调制(space vector pulse width modulation,SVPWM)驱动方式时存在直流电压利用率低、绝缘栅双极性晶体管(insulated gate bipolar tran⁃sistors,IGBT)损耗较高的缺点,建立永磁同步电机(permanent magnet synchronous motor,PMSM)和基于输出周期的IGBT损耗控制模型,在此基础上以输出电流质量为约束条件,以开关频率和直流母线电压为约束变量,应用猫鼬优化算法获得基于输出周期的IGBT损耗最优的开关频率和直流母线电压。对所提出的策略进行仿真和实验,通过比较输出电流总谐波畸变率(total harmonic distortion,THD)、电流波形、IGBT损耗和结温等验证所提策略在保证控制系统性能的条件下降低三相电压源逆变器损耗,增加三相电压源逆变器的可靠性。 To address the shortcomings of low DC voltage utilization and high insulated gate bipolar transistors(IGBT)loss in the three-phase voltage source inverter applied by the space vector pulse width modulation(SVPWM)drive method with constant switching frequency and rated DC bus voltage,permanent magnet synchronous motor(PMSM)and output cycle-based IGBT loss control model is established,based on which the optimal switching frequency and DC bus voltage for output cycle based IGBT loss are obtained by applying the dwarf mongoose optimization algorithm with the output current quality as the constraint and the switching frequency and DC bus voltage as the constraint variables.The proposed strategy is simulated and experimented to verify that the proposed strategy reduces loss and increases reliability while maintaining control system performance by comparing the output current total harmonic distortion(THD),current waveform and IGBT loss and junction temperature performance.
作者 杨红 杨帆 杨汝 YANG Hong;YANG Fan;YANG Ru(School of Mechanical and Electrical Engineering,Guangzhou University,Guangzhou 510006,China;School of Electronics and Communication Engineering,Guangzhou University,Guangzhou 510006,China)
出处 《电力科学与技术学报》 CAS CSCD 北大核心 2024年第1期225-233,284,共10页 Journal of Electric Power Science And Technology
基金 广东省自然科学基金(2020A1515011247,2022A1515010699,2022A1414020018)。
关键词 IGBT损耗 三相电压源逆变器 开关频率 直流母线电压 猫鼬优化算法 IGBT loss three-phase voltage source inverter switching frequency DC bus voltage dwarf mongoose optimization algorithm
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