Abstract
The Performance of Shunt Active filter depends on the Filtration capacity of the Harmonics Contents Present in the Signal. This paper explores the effectiveness of Feed Forward Back Propagation Network model controller in Conjunction with a modified hysteresis current controller implementation in a Voltage Source Converter based active power filter. At first Reference compensation current is achieved by using the neural network controller and then switching signal initiation is carried out by the developed hysteresis controller in the designed filter. To validate the effectiveness of the designed filter with the implementation of hysteresis controller, Simulation and Experimentation with DSPACE 1104 Platform carried out.
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References
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Puhan, P.S., Sandeep, S.D. (2020). Real Time Neuro-Hysteresis Controller Implementation in Shunt Active Power Filter. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-030-24318-0_43
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DOI: https://doi.org/10.1007/978-3-030-24318-0_43
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