LCL并网逆变器一阶自抗扰控制及基于粒子群优化的控制参数整定方法

Translated title of the contribution: First-order active disturbance rejection control and parameter tuning method based on particle swarm optimization for LCL grid-connected inverter
  • Ming Ma
  • , Peng Liao
  • , Yuxi Cai
  • , Ertao Lei
  • , Yingjie He

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

In the actual grid-connected field, the grid often contains unknown and time-varying disturbances, so the LCL grid-connected inverter operates in complex and harsh conditions, and often faces the problem of frequent off-grid. Firstly, a simple first-order active disturbance rejection controller for LCL grid-connected inverter is designed. Secondly, considering the problem that the parameters of active disturbance rejection controller are difficult to be tuned, a multi-objective optimization function including tracking error and settling time is constructed, and the parameters of the first-order active disturbance rejection controller are tuned by PSO(Particle Swarm Optimization) algorithm, which improves the efficiency and rationality of parameter design for active disturbance rejection controller. Finally, the system performance is analyzed in frequency domain, the feasibility of the designed controller and the superiority of the designed parameters are verified by simulation and experiment. The results show that, compared with the control parameters obtained by the traditional bandwidth method, the first-order active disturbance rejection control with the control parameters obtained by the proposed method can make the LCL grid-connected system obtain better traceability, immunity and quality of grid-connected current, and ensure that the LCL grid-connected inverter will not be off-grid under complex conditions.

Translated title of the contributionFirst-order active disturbance rejection control and parameter tuning method based on particle swarm optimization for LCL grid-connected inverter
Original languageChinese (Traditional)
Pages (from-to)174-182
Number of pages9
JournalDianli Zidonghua Shebei/Electric Power Automation Equipment
Volume41
Issue number11
DOIs
StatePublished - 10 Nov 2021

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