Control Of DC-DC Power Converters Research Articles

A Data-Driven Based Voltage Control Strategy for DC-DC Converters: Application to DC Microgrid

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.

Design and experimental validation of a hybrid optimal control for DC-DC power converters

In this article, the problem of hybrid optimal control for DC-DC power converters is treated. The designed control is of type bang-bang established from Pontryagin's maximum principle. The control is a state feedback and it is determined using an energy based minimization criterion derived from the power balance of Port-Hamiltonian systems. The developed control has the advantage to be easy to design and simple to implement in real time applications. The proposed control is applied to a SEPIC converter and validated in simulation and experimentation.

An Improved Dynamic Surface Control Approach and Applications to the Control of DC-DC Power Converter

This article presents an improved dynamic surface control (IDSC) approach for DC-DC Buck converter with parameter uncertainties and external disturbances. For IDSC method, the parameters update laws are designed based on uncertainty equivalence criterion, the requirements to the controlled systems are reduced, and the problem of explosion of complexity can be overcome. The features of the derived controller are discussed and illustrated by the Simulation study. The analysis and simulation show that the obtained controller possesses good adaptability and robustness to system uncertainties.

Quasi-linear modeling and control of DC-DC converters

A quasi-linear approach is proposed for modeling and control of DC-DC power converters. The method presented is derived by perturbing an approximate large signal equation around a varying operating point in a reduced variable space. This differs from the usual practice of applying the perturbation technique around a fixed operating condition. In the proposed algorithm, the control equation and the control parameter are constantly adjusted according to environmental changes to meet the specified dynamical requirement.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>