The new hybrid active filter (HAF) is composed of the larger-capacity passive filter banks and the smaller-capacity active filter. It is\r\ndifficult to tune the parameters of a PI controller using the DC capacitor voltage control. In this paper, the improved particle swarm\r\noptimization (improved PSO) algorithm is proposed to solve the coordinated design problem, and the neural network weights as\r\nthe particle swarm optimization are adopted to optimize the system parameters. Comparing with the conventional PI controller,\r\nthe results of PINN controller prove the effectiveness of designed method on both the transient and steady-state performance of\r\nthe hybrid active filter DC bus voltage (HAFDV) controllers.
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