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Generalized Neuron Based PSS and Adaptive PSS
Int. J. Control Engineering Practice, IFAC (2005)
  • D. K. Chaturvedi, Dayalbagh Educational Institute
  • O. P. Malik, University of Calgary
Artificial neural networks can be used as intelligent controllers to control non-linear, dynamic systems through learning, which can easily accommodate the non-linearities and time dependencies. However, they require large training time and large number of neurons to deal with complex problems. Taking benefit of the characteristics of a Generalized Neuron that requires much smaller training data and shorter training time, a Generalized Neuron-Based Power System Stabilizer (GNPSS) and an adaptive version of the same have been developed. The objective of this paper is to compare the performance of the GNPSS with that of an adaptive version, the weights of which are updated on-line.
  • Adaptive power system stabilizer; Neural network; On-line training; Generalized neuron controller
Publication Date
December, 2005
Citation Information
D. K. Chaturvedi and O. P. Malik. "Generalized Neuron Based PSS and Adaptive PSS" Int. J. Control Engineering Practice, IFAC Vol. 13 Iss. 12 (2005)
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