Research on midpoint voltage balance of inverter based on ant colony algorithm optimization

Jinqiu Wang; Xiaoming Ren; Mengqi Lei; Wei Na

doi:10.1117/12.2644751

10 November 2022 Research on midpoint voltage balance of inverter based on ant colony algorithm optimization

Jinqiu Wang, Xiaoming Ren, Mengqi Lei, Wei Na

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123012H (2022) https://doi.org/10.1117/12.2644751
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

Abstract

Aiming at the imbalance of the midpoint voltage of the DC bus of the T-type inverter, this paper proposed an optimized fuzzy VSVPWM control strategy based on ant colony algorithm. Firstly, based on the traditional VSVPWM modulation strategy, this new control strategy refined the sector distribution, redistributed the time sequence of output voltage vector, and increased fuzzy control factor D to control the action time of vector. Then, the three memberships of triangular membership function, fuzzy control rules, as well as quantization and scale factors are simultaneously optimized by ant colony algorithm. Moreover, in the path construction, the algorithm optimized the probability transition function and effectively prevented the ant colony from falling into the local optimal state. Finally, the simulation results proved that the parameters of the fuzzy controller optimized by the ant colony algorithm were applied to the T-type inverter system, so that the point potential fluctuation difference in the system is controlled within the allowable range, and the optimized system prove to be great in dynamic response and static properties.

Citation Download Citation

Jinqiu Wang, Xiaoming Ren, Mengqi Lei, and Wei Na "Research on midpoint voltage balance of inverter based on ant colony algorithm optimization", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123012H (10 November 2022); https://doi.org/10.1117/12.2644751

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