2007
DOI: 10.1109/ijcnn.2007.4371158
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Simplified Control Structure for Current Control of Single Phase Rectifiers Using COT-ANN-PWM

Abstract: Abstract-This paper describes a single phase switched rectifier for current control using Model Reference Adaptive Control (MRAC) with a Continually On-Line Trained Artificial Neural Network (COT-ANN). The results obtained with the proposed scheme are similar to the ones obtained in a previous work but using a simpler control structure. Simulations are used to test the validity of the proposed algorithm and the results are later verified by a practical implementation of this system.

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Cited by 13 publications
(3 citation statements)
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“…The grid current at instant (k+1)T s can be predicted according to (3) in traditional predictive current control method.…”
Section: B Problems With Open-loop Predictive Current Algorithmmentioning
confidence: 99%
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“…The grid current at instant (k+1)T s can be predicted according to (3) in traditional predictive current control method.…”
Section: B Problems With Open-loop Predictive Current Algorithmmentioning
confidence: 99%
“…The robustness of current loop will be depressed. Predictive current controller was proposed to solve the problem by predicting the grid current ahead of one sampling period [2][3][4][5] . But traditional predictive algorithm is essentially an open-loop current observer, in which predictive current error is not convergence.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, fuzzy logic controllers constitute a major branch of the industrial applications. These controllers have some advantages: a simple theory and applied to complex systems, no need to accurate mathematical models of the process required to be controlled, and a good robustness .…”
Section: Introductionmentioning
confidence: 99%