基于FPGA的粒子群优化PI控制器在有源滤波器中的应用

Application of particle swarm optimization PI controller in active power filter based on FPGA

针对有源电力滤波器APF(Active Power Filter)中,电流补偿PI控制器参数难以整定的问题,提出了一种基于FPGA实现的粒子群优化PI控制器设计方案。利用粒子群优化算法对非线形系统的适应性强和易于工程实现等特点,同时以FPGA为硬件核心处理器,对电流补偿PI控制器的比例、积分参数进行优化。仿真和样机实验结果表明,优化后的PI控制器在动态性能以及控制精度等方面有明显提高,基于该PI控制器的有源电力滤波器能迅速有效产生补偿电流,抑制电网谐波,证明了该设计的可行性。

A particle swarm optimization （PSO） current PI control scheme of active power filter （APF） based on field programmable gate array （FPGA） as the core processor of the hardware circuit is proposed to deal with the difficulty in the parameter regulation of the current PI controller. The PSO algorithms are employed in this method to optimize parameters of current PI controller. This proposed approach has superior features, including good applicability in non-linearity system and easy implementation. Simulation and experiment results achieved from a prototype show that the dynamic property and accuracy of the proposed current PI controller are evidently improved; the APF based on such a PI controller can implement reactive current compensation quickly in harmonic suppression and indicate that the optimal design method is feasible.