2008
DOI: 10.4028/www.scientific.net/kem.392-394.735
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Study on Fuzzy-Neural Network for Inverted Plasma Arc Cutting Power Supply

Abstract: A variable interval fuzzy quantification algorithm with self-adjustable factor in full domain is proposed in this paper. It focuses on digital inverted plasma arc cutting power and studies strong nonlinearity and uncertainty of power. The neural network is also introduced to decouple cutting parameters variables in the multi-parameters coupling cutting process. This algorithm avoids complex nonlinear system modeling and realizes real-time and effective online control of cutting process by combining advantages … Show more

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