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Frequency is an important parameter in power system monitoring, control and protection. This paper shows how a combination of neural networks and genetic algorithm can be used to estimate power system frequency. Neural networks on the other hand offer great advantages in learning, adaptation, fault tolerance and parallelism. Genetic algorithm is a parallel global search technique that emulates natural...
This paper presents neural estimators of the state variable for drive system with elastic joints. The main stages of the design methodology of neural estimators of the torsional torque and the load machine speed were presented. For the optimization of the structure of each neural networks the Optimal Brain Damage method was implemented. The signals estimated by neural networks were tested in the control...
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