Zhong-Qiang Wu, Chun-Hua Xu and Yang Yang. Robust Iterative Learning Control of Single-phase Grid-connected Inverter. International Journal of Automation and Computing, vol. 11, no. 4, pp. 404-411, 2014. https://doi.org/10.1007/s11633-014-0806-5
Citation: Zhong-Qiang Wu, Chun-Hua Xu and Yang Yang. Robust Iterative Learning Control of Single-phase Grid-connected Inverter. International Journal of Automation and Computing, vol. 11, no. 4, pp. 404-411, 2014. https://doi.org/10.1007/s11633-014-0806-5

Robust Iterative Learning Control of Single-phase Grid-connected Inverter

doi: 10.1007/s11633-014-0806-5
Funds:

This work was supported by Natural Science Foundation of Hebei Province (No. F2012203088).

  • Received Date: 2013-04-12
  • Rev Recd Date: 2013-09-12
  • Publish Date: 2014-08-01
  • For the single phase inductance-capacitance-inductance (LCL) grid-connected inverter in micro-grid, a kind of robust iterative learning controller is designed. Based on the output power droop characteristics of inverter, the current sharing among the inverters is achieved. Iterative learning strategy is suitable for repeated tracking control and inhibiting periodic disturbance, and is designed using robust performance index, so that it has the ability to overcome the uncertainty of system parameters. Compared with the repetitive control, the robust iterative learning control can get high precision output waveform, and enhance the tracking ability for waveform, and the distortion problem of the output signal can be solved effectively.

     

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