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SIMULATION OF DC-DC CONVERTER SYMBOLIC DYNAMICS: DETECTION AND IDENTIFICATION OF BIFURCATION TYPES

Abdelaziz Hamzaoui, Pavel Ustinov, Andrey Sholonik, Yury Kolokolov

Abstract


In this paper continuous-time model to discrete-time symbolic model transformation for an algorithmization of the DC-DC buck converter dynamics investigation process is derived. The proposed concept of symbolic index allows evaluate quantitatively the symbolic model change and makes possible the “nonsmooth” bifurcations revealing. The numerical simulation that had been carried out verifies utilizing efficiency of symbolic modeling both as for possible bifurcation pattern forecasting, as for bifurcation type identification.

Keywords


Simulation; DC-DC buck converter; symbolic model; identification; bifurcation

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References


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