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.
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