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一种内置式永磁同步电机死区补偿方法的研究

Research on a Dead-time Compensation Method for IPMSM
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摘要 针对电动汽车电驱动系统低速时内置式永磁同步电机工作性能欠佳的问题,在分析死区效应产生的原因及补偿方法后,采用iα和iβ的线性组合方式判断所需补偿的电压,设计基于自适应线性神经网络(ADALINE)的陷波器,以滤除id和iq中的高次谐波,构建整个驱动系统。通过Simulink仿真和系统平台试验,使用ADALINE陷波器的死区补偿方法能有效抑制死区效应造成的影响,使逆变器输出电流在带载时更加平滑稳定。该方法显著地改善了IPMSM振动性能,使乘用电动车的舒适性得到提升。 Aiming at the problem of poor performance of interior permanent magnet synchronous motor(IPMSM) in electric drive system of electric vehicle at low speed, after analyzing the causes of dead-time effect and compensation methods, a linear combination of iα and iβ was adopted to judge the compensated voltage.In order to filter the higher harmonics in id and iq, a notch filter based on adaptive linear neural network(ADALINE) was designed, the whole driving system was constructed. Through Simulink simulation and system platform test, the dead-time compensation method using ADALINE notch filter can effectively suppress the adverse effects caused by dead-time effect, make the output current of the inverter smoother and more stable under load. This method significantly improves the vibration performance of IPMSM, and enhances the comfort of electric vehicles.
作者 朱明祥 孙红艳 ZHU Mingxiang;SUN Hongyan(College of Electric Engineering,Nanjing Normal University Taizhou College,Taizhou 225300,Jiangsu,China)
出处 《微电机》 北大核心 2019年第11期87-92,共6页 Micromotors
基金 泰州市科技支撑计划(社会发展)项目(SSF20180055) 教育部产学合作协同育人项目(201802044030)
关键词 自适应线性神经网络 内置式永磁同步电机 仿真试验 死区补偿 ADALINE IPMSM simulation test dead-time compensation
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