A Global Sliding Mode Control Method for Active Power Filters Based on Double Hidden Layer Recurrent Neural Networks
A regression neural network, power filter technology, applied in the field of global sliding mode control of active power filter based on double hidden layer regression neural network, can solve the problems of low robustness, system instability, inconvenience, etc. Training speed, powerful fitting and expression capabilities, and the effect of accelerating system response
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[0090] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to more clearly illustrate the technical solutions of the present invention, but cannot limit the protection scope of the present invention with this.
[0091] Such as figure 1 is the basic circuit topology diagram of the three-phase three-wire parallel voltage-type active power filter, v s1 ,v s2 ,v s3 is the grid voltage, i s1 ,i s2 ,i s3 is the supply current, i L1 ,i L2 ,i L3 is the load current, v 1 ,v 2 ,v 3 is the voltage at the common connection point, i 1 ,i 2 ,i 3 is the filter output compensation current, C is the DC side capacitance, v dc is the DC side capacitor voltage, i dc is the DC side capacitor voltage, L c is the AC side inductance, R c is the equivalent resistance.
[0092] The values of the center vector and the base width in the two hidden layers of the fully-adjusted regression neural netwo...
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