Chaotic ant colony algorithm‑based frequency‑optimized random switching frequency SVPWM control strategy

Siyan Zhang; Xudong Wang; Kai Zhou; Xuan Shao; Jinfeng Liu

Chaotic ant colony algorithm‑based frequency‑optimized random switching frequency SVPWM control strategy

Vol. 23, No. 11, pp. 1688-1702, Nov. 2023

10.1007/s43236-023-00664-6

FORSF-SVPWM

Harmonic suppression

Frequency optimization

Spectrum analysis

Abstract

To solve the problem where the space vector pulse width modulation (SVPWM) of a three-phase inverter produces large harmonic components near the switching frequency (fs) and its doubling frequency, a frequency-optimized random switching frequency SVPWM (FORSF-SVPWM) control strategy is proposed in this paper. In this strategy, the basic principle of the chaotic ant colony algorithm in path optimization is used to determine the optimized scheme of the switching frequency distribution in the FORSF-SVPWM. Research shows that the frequency sample formed by the sigmoid function curve in the switching frequency range can cause the energy that was originally concentrated on the switching frequency and its doubling frequency to be more evenly distributed in the whole frequency range. Moreover, the amplitude of each harmonic wave is shown to be suppressed. The proposed strategy reduces the high-frequency noise and conducted electromagnetic interference (EMI) existing in power switching circuits. Thus, this strategy is obviously better than the traditional random switching frequency SVPWM (RSF-SVPWM) algorithm with its approximately uniform frequency distribution. Simulation and experimental results show that this strategy can work well in the hardware platform of a three-phase inverter without changing the topology of the main circuit of the system. In addition, this strategy is easy to implement.

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Cite this article

[IEEE Style]

S. Zhang, X. Wang, K. Zhou, X. Shao, J. Liu, "Chaotic ant colony algorithm‑based frequency‑optimized random switching frequency SVPWM control strategy," Journal of Power Electronics, vol. 23, no. 11, pp. 1688-1702, 2023. DOI: 10.1007/s43236-023-00664-6.

[ACM Style]

Siyan Zhang, Xudong Wang, Kai Zhou, Xuan Shao, and Jinfeng Liu. 2023. Chaotic ant colony algorithm‑based frequency‑optimized random switching frequency SVPWM control strategy. Journal of Power Electronics, 23, 11, (2023), 1688-1702. DOI: 10.1007/s43236-023-00664-6.