Abstract
This paper develops a data-driven strategy for identification and voltage control for DC-DC power converters. The proposed strategy does not require a pre-defined standard model of the power converters and only relies on power converter measurement data, including sampled output voltage and the duty ratio to identify a valid dynamic model for them over their operating regime. To derive the power converter model from the measurements, a local model network (LMN) is used, which is able to describe converter dynamics through some locally active linear sub-models, individually responsible for representing a particular operating regime of the power converters. Later, a local linear controller is established considering the identified LMN to generate the control signal (i.e., duty ratio) for the power converters. Simulation results for a stand-alone boost converter as well as a bidirectional converter in a test DC microgrid demonstrate merit and satisfactory performance of the proposed data-driven identification and control strategy. Moreover, comparisons to a conventional proportional-integral (PI) controllers demonstrate the merits of the proposed approach.
Highlights
DC-DC power converters have been extensively used in the infrastructure such as PV power converters, DC motor drives, and wind farm power converters [1,2,3]
DC-DC power converters are characterized by three different modes of operation, namely rising inductor current, falling inductor current and zero inductor current, where each mode features linear continuous-time dynamics
To eliminate the above-mentioned limitations, this paper proposes a data-driven strategy (DDS)
Summary
DC-DC power converters have been extensively used in the infrastructure such as PV power converters, DC motor drives, and wind farm power converters [1,2,3]. Control of the power converters poses challenges to the researchers due to their nonlinear characteristics. Such difficulties stem from the following phenomena and requirements: . DC-DC power converters are characterized by three different modes of operation, namely rising inductor current, falling inductor current and zero inductor current (which happens in discontinuous conduction operation), where each mode features linear continuous-time dynamics. Such complexities may even lead to chaotic behavior of the DC-DC converters [8]
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