International Journal of Modelling Identification and Control · 2015 · 14 citations · 19 references
EngineeringElectrical EngineeringAnalog ElectronicsCircuit TheoryPower ElectronicsAc-dc ConvertersAdaptive ControlDc-dc ConvertersPower QualityThree-phase CircuitsVoltage RegulationAdaptive Control Of Nonlinear SystemsAdaptive Neural ControlAdaptive Nonlinear ControlCurrent Control Of Power ConvertersNonlinearityThree-phase RectifiersVoltage ControlVoltage-source Rectifiers
This paper proposes an adaptive voltage-oriented control (VOC) with online ac filter parameters identification for three-phase voltage-source rectifier (VSR). A new method based on adaptive linear neuron (ADALINE) is first designed to identify the ac filter parameters. For accurate identification, the VSR nonlinearity is included in the ADALINE structure. Thereafter, the developed ADALINE is inserted in the VOC to realise an adaptive VOC. Thus, the decoupled terms and the proportional-integral current controller gains are updated online. Finally, the ADALINE ability to track properly the ac filter parameters is investigated by experimental analysis. It shows that the VSR nonlinearity consideration has significant influence on the resistance identification. Compared to the VOC, the enhancement of the proposed adaptive VOC is experimentally proved. The originality of this paper is the building of a VSR model including VSR nonlinearity that is suitable for implementation with ADALINE. This leads to ease of implementation and accurate identification.
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