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An Optimal Random Carrier Pulse Width Modulation Technique Based on a Genetic Algorithm

机译:基于遗传算法的最优随机载波脉宽调制技术

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Since the carrier sequence is not reproducible in a period of the random carrier pulse width modulation (RCPWM) and a higher harmonic spectrum amplitude is likely to affect the quality of the power supply. In addition, electromagnetic interference (EMI) and mechanical vibration will appear. To solve these problems, this paper has proposed an optimal RCPWM based on a genetic algorithm (GA). In the optimal modulation, the range of the random carrier frequency is taken as a constraint and the reciprocal of the maximum harmonic spectrum amplitude is used as a fitness function to decrease the EMI and mechanical vibration caused by the harmonics concentrated at the carrier frequency and its multiples. Since the problems of the hardware make it difficult to use in practical engineering, this paper has presented a hardware system. Simulations and experiments show that the RCPWM is effective. Studies show that the harmonic spectrum is distributed more uniformly in the frequency domain and that there is no obvious peak in the wave spectra. The proposed method is of great value to research on RCPWM and integrated power systems (IPS).
机译:由于载波序列在随机载波脉冲宽度调制(RCPWM)的周期内不可重现,并且更高的谐波频谱幅度可能会影响电源的质量。此外,还会出现电磁干扰(EMI)和机械振动。为了解决这些问题,本文提出了一种基于遗传算法(GA)的最优RCPWM。在最佳调制中,将随机载波频率的范围作为约束,并且将最大谐波频谱幅度的倒数用作适应度函数,以减少由集中在载波频率及其谐波上的谐波引起的EMI和机械振动倍数。由于硬件问题使其难以在实际工程中使用,因此本文提出了一种硬件系统。仿真和实验表明,RCPWM是有效的。研究表明,谐波频谱在频域中分布更加均匀,并且波谱中没有明显的峰值。该方法对RCPWM和集成电源系统(IPS)的研究具有重要的参考价值。

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