文件名称:Research-on-Optimization-of-Speed-Identification.
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Introducing the rank-weight method into the
basic ant colony optimization (ACO), we use the modified
ACO to optimize the weights and thresholds value of neural
networks (NN). And when the BPNN is being trained, this
method can solve the disadvantages of running into the
minimum easily, and enhance the convergence speed. So we get
a heuristic method, which is good at time efficiency and
derivation efficiency that is ACOrw-BP. Then this method was
used to identify the speed of the motor in direct toque control
(DTC).The results of the simulation showed that: the modified
ACOrw-BP neural network not only has the ability of mapping
widely, but also enhancing the operation efficiency obviously.
The speed of the motor can be identified accurately by this
method, and the result is good. So, it implements the direct
toque control of speed sensorless.
basic ant colony optimization (ACO), we use the modified
ACO to optimize the weights and thresholds value of neural
networks (NN). And when the BPNN is being trained, this
method can solve the disadvantages of running into the
minimum easily, and enhance the convergence speed. So we get
a heuristic method, which is good at time efficiency and
derivation efficiency that is ACOrw-BP. Then this method was
used to identify the speed of the motor in direct toque control
(DTC).The results of the simulation showed that: the modified
ACOrw-BP neural network not only has the ability of mapping
widely, but also enhancing the operation efficiency obviously.
The speed of the motor can be identified accurately by this
method, and the result is good. So, it implements the direct
toque control of speed sensorless.
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Research on Optimization of Speed Identification.pdf