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丁桂花

In recent years, significant advancements have been made in the field of DC/DC converter control techniques [11–15]. Among these, sliding mode control (SMC) has proven to be a highly effective approach. SMC employs PWM (Pulse Width Modulation) using hysteresis modulation, but a major drawback has been its variable switching frequency [11–13].

丁桂花

The control objective of the DC/DC buck converter is determined based on the ANN consisting of two control loops.

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丁桂花

A radial basis function neural networks (RBFN) structure is integrated into the second control loop of the DC–DC buck converter.

丁桂花

Figure 5 presents an adaptive neural sliding mode control scheme for a DC–DC Buck converter. The outer voltage controller, given by Eq. (6), controls the output voltage Vo to track the set voltage V*o. The inner current controller regulates the input current IL to track the set current I*L to prevent converter losses.

丁桂花

where x ∈ Rn is the state vector, f (.) is the vector of continuous functions and u is the control input, a smooth curved surface is often called a sliding surface, described by (8):

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