Forming method for neural network inverse controller of active power filter
A neural network inverse, power filter technology, applied in active power filtering, AC network to reduce harmonics/ripples, harmonic reduction devices, etc., can solve the problems of control system performance degradation, decoupling condition destruction, etc. Achieve the effect of improving dynamic response performance, improving power quality, and improving the ability to cope with system parameter changes and external disturbances
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[0020] The embodiment of the present invention is: first, the inverter of the main circuit of the active power filter and the AC side inductance are taken as a whole to form the controlled object, and the controlled object is equivalent to two first-order differential equations under dq rotating coordinates model, the relative order of the vector of the system is {1, 1}; then a static neural network with 4 input nodes and 2 output nodes plus 2 integrators is used to form the neural network inverse of the controlled object through a learning algorithm, where the static The weight coefficients of the neural network are determined by learning; then the neural network is inversely connected in front of the controlled object, and the neural network inverse and the controlled object form a pseudo-linear system composed of two independent first-order integral compensation current subsystems, so that the The control of a multivariable nonlinear coupling system is transformed into the c...
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