GAPSO优化PWM双随机分布的EMI抑制方法OA

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.