Indirect adaptive control for synchronous Generator: comparison of MLP/RBF neural networks approach with Lyapunov stability analysis

Authors:
Jung-Wook Park;R. G. Harley;G. K. Venayagamoorthy
Affiliations:
Georgia Inst. of Technol., Atlanta, GA, USA;-;-
Venue:
IEEE Transactions on Neural Networks
Year:
2004

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Abstract

This paper compares two indirect adaptive neurocontrollers, namely a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) to control a synchronous generator. The different damping and transient performances of two neurocontrollers are compared with those of conventional linear controllers, and analyzed based on the Lyapunov direct method.