2004
DOI: 10.1007/s00202-003-0221-3
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Optimal tuning of PI speed controller coefficients for electric drives using neural network and genetic algorithms

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Cited by 18 publications
(14 citation statements)
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“…This value is used in the GA operators by determining the fitness value of this hand in the population. The genetic algorithm parameters selected for the purpose of adjustment are shown the table [19]. …”
Section: Fig-5mentioning
confidence: 99%
“…This value is used in the GA operators by determining the fitness value of this hand in the population. The genetic algorithm parameters selected for the purpose of adjustment are shown the table [19]. …”
Section: Fig-5mentioning
confidence: 99%
“…Recently, neural networks have been shown to possess good approximation capability for a wide range of nonlinear functions and have been used in the modeling of nonlinear dynamic systems by many researchers [10][11][12][13]. By far the most common type of network used for dynamic modeling work is the backpropagation network, which gets its name from its learning strategy.…”
Section: Modeling Of the Bldc Motor Using Annmentioning
confidence: 99%
“…In the same way, the learning and momentum coefficients were determined by experiences with previous studies [13]. Table 1.…”
Section: Modeling Of the Bldc Motor Using Annmentioning
confidence: 99%
“…There was no criterion to select cell number at every layer of the ANN structure; layer number and cell number were determined by experiment. In the same way, the learning and momentum coefficients were determined by experiences with previous studies [13]. Table 1.…”
Section: Modeling Of the Bldc Motor Using Annmentioning
confidence: 99%