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文章摘要
基于改进粒子群算法的并网逆变器分数阶PIλDμ控制研究
Research on fractional-order PIλDμ control of grid-connected inverter based on MPSO algorithm
Received:November 24, 2019  Revised:January 01, 2020
DOI:DOI: 10.19753/j.issn1001-1390.2022.06.024
中文关键词: 分数阶PIλDμ控制器  并网逆变器  参数寻优  改进粒子群
英文关键词: fractional-order PIλDμ controller, grid-connected inverter, parameter optimization, MPSO
基金项目:国家自然科学基金项目( 61863003、61561007)
Author NameAffiliationE-mail
xie lingling* School of Electrical Engineering, Guangxi university 10080450@qq.com 
lu liu School of Electrical Engineering, Guangxi university 1003023980@qq.com 
liu bin School of Electrical Engineering, Guangxi university bingo.liu@gxu.edu.cn 
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中文摘要:
      针对整数阶PID控制器参数选择受限致使并网逆变器系统性能欠佳的问题,文中提出了一种基于改进粒子群算法的并网逆变器分数阶控制策略。分析了分数阶PIλDμ控制器的积分阶次λ、微分阶次μ对被控系统动态及稳态性能的影响;将分数阶PIλDμ控制器与电流双闭环、电网电压前馈控制相结合,提出一种基于分数阶PIλDμ控制器的并网逆变器的电流控制策略,并与传统整数阶PID控制策略进行比较;详细分析分数阶PIλDμ控制器的参数取值范围,并采用改进粒子群算法寻优参数。仿真结果表明,采用分数阶PIλDμ控制,增强了控制系统的灵活性,降低了并网电流总谐波畸变率,改善了系统的动态性能,提高了系统的电网扰动抑制能力。
英文摘要:
      According to the problem that the performance of grid-connected inverter system is poor due to the limited parameter selection of integer-order PID controller, this paper propose a fractional-order control strategy of grid-connected inverter based on modified particle swarm optimization (MPSO) algorithm. The influence of λ, μ of fractional-order PIλDμ controller on the dynamic and steady performance of the controlled system is analyzed. The PIλDμ controller is combined with current dual-closed-loop and grid voltage feed-forward control, a current control strategy of grid-connected inverter based onPIλDμ controller is proposed and compared with the PID control strategy. The parameter range of PIλDμ controller is analyzed in detail, and the MPSO algorithm is used to optimize the parameters. The simulation results show that the PIλDμcontrol enhances the flexibility of the control system, reduces the total harmonic distortion rate of the grid-connected current, and improves the dynamic response speed and anti-interference performance of the system.
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