Dynamic sliding mode voltage control method of dc-dc boost converter based on interval type-two adaptive fuzzy neural network
An interval-type two fuzzy and self-adaptive fuzzy technology, which is applied in control/regulation systems, output power conversion devices, DC power input conversion to DC power output, etc., can solve the fuzzy neural network's autonomous learning ability and lack of robustness And other issues
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[0078] figure 1 It shows the topological structure diagram of the DC-DC boost converter in the present invention in the first embodiment. In this topology, in order to obtain an input voltage higher than Vi DC voltage V o , the present invention inserts an inductance L at the front end of the converter switch S. When the switch S is turned off, the counter electromotive force generated by the inductance coil when its current decreases is added in series with the power supply voltage and sent to the load resistance R, and the load resistance can be to obtain an input voltage higher than V i DC voltage V o , figure 1 Under this principle, a DC-DC boost converter is composed of a fully-controlled switch S and a freewheeling diode D plus inductors and capacitors. The system parameters are shown in Table 1. The DC-DC boost converter circuit The switching state depends on the set PWM signal value u PWM :
[0079] Table 1
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[0081]
[0082] The method of the pres...
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