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Neural-network-controlled single-phase UPS inverters with improved transient response and adaptability to various loads
1999
Proceedings of the IEEE 1999 International Conference on Power Electronics and Drive Systems. PEDS'99 (Cat. No.99TH8475)
This paper proposes a neural-network control scheme for the inverters of Uninterruptible Power Supplies (UPS) to improve their transient response and adaptability to various loads. Two simulation models are built to obtain example patterns for training the neural network. One is a multiple-feedback-loop controller for linear loads, and the other is an idealized load-current-feedback controller specially designed for nonlinear loads. The latter controller has a built-in reference load model, and
doi:10.1109/peds.1999.792820
fatcat:v4aonf6ljvf6llvkqmjzjrdwxy