@article{(Open Science Index):https://publications.waset.org/pdf/985,
	  title     = {Improvement of Synchronous Machine Dynamic Characteristics via Neural Network Based Controllers},
	  author    = {S. A. Gawish and  F. A. Khalifa and  R. M. Mostafa},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents Simulation and experimental
study aimed at investigating the effectiveness of an adaptive artificial
neural network stabilizer on enhancing the damping torque of a
synchronous generator. For this purpose, a power system comprising
a synchronous generator feeding a large power system through a
short tie line is considered. The proposed adaptive neuro-control
system consists of two multi-layered feed forward neural networks,
which work as a plant model identifier and a controller. It generates
supplementary control signals to be utilized by conventional
controllers. The details of the interfacing circuits, sensors and
transducers, which have been designed and built for use in tests, are
presented. The synchronous generator is tested to investigate the
effect of tuning a Power System Stabilizer (PSS) on its dynamic
stability. The obtained simulation and experimental results verify the
basic theoretical concepts.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {2},
	  number    = {5},
	  year      = {2008},
	  pages     = {807 - 813},
	  ee        = {https://publications.waset.org/pdf/985},
	  url   	= {https://publications.waset.org/vol/17},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 17, 2008},
	}