Self-organizing T-S fuzzy neural network control method of grid-connected inverter
A fuzzy neural network and control method technology, applied in the field of grid-connected inverter control, can solve the problems of taking zero or random numbers, PID control can not be satisfied, the hidden layer has no physical meaning, etc., achieves good dynamic performance, is conducive to Mathematical analysis, calculation of simple effects
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[0015] specific implementation
[0016] Specific embodiments of the present invention will be described in detail with reference to the accompanying drawings.
[0017] figure 1 is the structure diagram of the strength self-judgment T-S type fuzzy neural network. The network is divided into an antecedent network and a consequent network, among which:
[0018] Antecedent network:
[0019] The first layer is the input layer, the input is the d-axis current error e t1 , d-axis current error rate of change q-axis current error e t2 and q-axis current error rate of change Each neuron node in this layer does not do any calculation, and directly introduces the output into the antecedent network of the T-S fuzzy neural network. The output of this layer node is equal to the input, that is
[0020] The second layer is the membership layer, each node represents a language variable value, and the Gaussian function is used to obtain the membership function μ j ,Right now In th...
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