Adaptive RBF (radial basis function) neural network control technique for three-phase parallel active filters
A neural network control, source filter technology, applied in active power filtering, AC network to reduce harmonics/ripple, harmonic reduction devices, etc., can solve problems such as increased loss, excessive current, poor power quality, etc. , to achieve the effect of offsetting harmonics
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[0070] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the specific implementation, structure, features and effects of the present invention will be described in detail below in conjunction with the accompanying drawings and preferred embodiments. rear.
[0071] Such as figure 1 As shown, a three-phase parallel active filter adaptive RBF neural network control technology includes the following steps:
[0072] A, design adaptive RBF neural network controller for three-phase parallel active filter; Described adaptive RBF neural network controller is designed based on RBF neural network and adaptive algorithm;
[0073] b. Establish the numerical sequence model of the controlled object three-phase parallel active filter Among them, x is the compensation current, f(x) is the unknown equation, b is the unknown constant, u is the switching function, which is the output of the RBF neural network ...
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