Indirect Adaptive Control for Synchronous Generator : Comparison of MLP/RBF Neural Networks Approach With Lyapunov Stability Analysis  

Oleh:

Park, Jung-Wook ; Harley, R. G. ; Venayagamoorthy, G. K.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 15 no. 2 (Mar. 2004), page 460-464.
Topik: generator; indirect adaptive control; synchronous generator; MLP / RBF; neural networks; lyapunov stability analysis

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.10 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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.

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