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Keeping into view the irregular existence of uncertainties and disturbances in nonlinear systems, a novel adaptive control scheme based on neuro‐fuzzy Elman wavelet neural network (NFEWNN) has been proposed in this work which is capable of accurately modeling system uncertainties. In addition to this, an improvement in an evolutionary algorithm named particle swarm optimization has also been introduced...
In this paper, an integration of single-stage solar photovoltaic (SPV) generation to three-phase AC grid is proposed using admittance based LMS (Least Mean Square) adaptive control approach. The main focus of the system is to supply active power to the grid as well as loads at PCC and also mitigate several power quality issues like current harmonics distortion, reactive power and load unbalancing...
A Model reference adaptive control (MRAC) belongs to the class of adaptive servo system in which the desired performance is expressed with the help of a reference model. MRAC aims to create a closed loop controller with parameters that can change the response of the system to mimic a desired response. However, analysis unravels that there is a tolerance band for the set point change which defines...
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