This paper proposes an intelligent nested-loop control scheme based on brain emotional learning for voltage control of a grid-forming (GFM) inverter. The proposed controller offers features such as coping with modeling uncertainties and disturbances impacting the system model. The proposed approach is quite model-free, implying that the inverter is controlled without prior knowledge of GFM model and parameters. Unlike the conventional nested-loop control methods typically designed for a specified operating condition, the proposed approach avoids the dependency of the control system on the operating conditions. Preliminary experimental results obtained from a laboratory setup establish the effectiveness of the proposed method.
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