Stability Regions of Nonlinear LCL-Filtered Converter with Converter-Current-Feedback Control Without Damping | Zendy

Qingyi Wang | Zendy; Xuefen Wang | Zendy; Min Ding | Zendy; Quan Yin | Zendy; Haichun Li | Zendy

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Stability Regions of Nonlinear LCL-Filtered Converter with Converter-Current-Feedback Control Without Damping

Author(s) -

Qingyi Wang,

Xuefen Wang,

Min Ding,

Quan Yin,

Haichun Li

Publication year - 2018

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2018.p0629

Subject(s) - control theory (sociology) , nyquist plot , nonlinear system , nyquist stability criterion , stability (learning theory) , controller (irrigation) , filter (signal processing) , frequency domain , describing function , computer science , pulse width modulation , physics , mathematics , control (management) , voltage , parametric statistics , agronomy , statistics , electrode , quantum mechanics , artificial intelligence , machine learning , dielectric spectroscopy , electrochemistry , computer vision , biology

The stability regions of a LCL-filtered converter adopting converter-current-feedback control without damping are analyzed. The nonlinear LCL-filtered model is presented to investigate its influence on the system stability. The stability analysis is performed by means of the Nyquist diagram in s domain. It reveals that three factors have the dominant effects on the system stability, including internal loss of LCL-filtered model, PWM transport delay and controller parameters. The undamped stability boundaries of the system gain calculated by the symmetrical optimum method are obtained. It can be found that stable regions for the nonlinear LCL-filtered system are extended into a continuous region of ratios of LCL filter resonance frequency to control frequency from three distinct regions. Finally, the stable regions are validated by the nonlinear model simulation, and experimental results verify the theoretical analysis.

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