重庆理工大学学报2026，Vol.40Issue(9)：62-70,9.DOI:10.3969/j.issn.1674-8425(z).2026.05.008
GAPSO优化PWM双随机分布的EMI抑制方法
GAPSO optimized PWM dual random distribution EMI suppression method
摘要
Abstract
In motor drive systems,the electromagnetic interference(EMI)spectrum energy concentration caused by the fixed carrier frequency and pulse position of traditional space vector pulse width modulation(SVPWM)is a key factor undermining its electromagnetic compatibility.To address the issue,this paper proposes a dual random pulse width modulation(PWM)strategy based on genetic particle swarm optimization(GAPSO).It achieves the diffusion and reconstruction of harmonic energy from narrowband peaks to wideband through dual random perturbations of carrier frequency and pulse position.A non-uniform distribution model is introduced based on Sigmoid probability density function to solve the local energy aggregation in frequency bands caused by traditional uniform random distribution.By using GAPSO to perform multi-objective intelligent optimization on the shape factor and randomized boundary of the Sigmoid function,a dynamic mapping between spectral energy distribution and control parameters is established to maximize the high-frequency harmonic suppression effect.Simulation verification shows the proposed method reduces the peak harmonic intensity by 18.3 dBuV in the frequency range of 0.1-30 MHz compared with standard SVPWM,markedly improving the common mode noise and conductive EMI characteristics of the motor drive systems.The method may provide an effective optimization for suppressing EMI in the high-frequency domains.关键词
电磁干扰(EMI)/脉宽调制(PWM)/电机驱动系统/随机调制/遗传粒子群算法Key words
EMI/PWM/motor drive systems/random modulation/GAPSO分类
信息技术与安全科学引用本文复制引用
吴铁洲,魏然,成雄帆,黄杨,钦云,朱俊超..GAPSO优化PWM双随机分布的EMI抑制方法[J].重庆理工大学学报,2026,40(9):62-70,9.基金项目
国家自然科学基金项目面上项目(51677058) （51677058）
