Abstract
This paper proposes a white-box approach for identifying the parameters of DC-DC buck and boost switch mode power converters. It is based on discretizing the differential equations that describe the dynamic behavior of the converters. From the discretized equations and experimental data, the parameters of the converters are identified, thus obtaining both the values of the passive components and the transfer function coefficients of the controller. To this end, steady state and transient experimental signals are analyzed, including the input and output voltages and the inductor and output currents. To determine the accuracy of the proposed method, once the parameters are identified, a simulation with the identified parameters of the converter is run and compared with experimental signals. Such results show the accuracy and feasibility of the approach proposed in this work, which can be extended to other converters and electrical and electronic devices.
Highlights
Switch mode power converters (SMPC) are broadly applied in different areas, including motor drives, computers, portable electronics [1], domestic appliances [2], or in power conversion systems for renewable generation [3], among others
Parameter identification is a powerful tool to develop fault diagnosis approaches for power converters based on continuously observing the values of passive components, since changes in these values due to ageing or deterioration can lead to power converter failure [8]
Linares-Flores et al [17] presented a design of a generalized proportional–integral adaptive controller for boost converters based on the an algebraic parameter identification approach
Summary
Switch mode power converters (SMPC) are broadly applied in different areas, including motor drives, computers, portable electronics [1], domestic appliances [2], or in power conversion systems for renewable generation [3], among others. Parameter identification comprises a set of techniques for estimating the most suitable values of the parameters that govern a dynamical system based on data from the observed behavior of the system This approach has been applied in different areas, including transmission lines [5], synchronous generators [6] or modelling of capacitors [7] among others. According to the technical literature, different strategies can be applied for parameter identification in SMPCs. Gietler et al [16] identified the values of the passive components of a buck converter from the time-discrete transfer function of such electronic device using state space models. Linares-Flores et al [17] presented a design of a generalized proportional–integral adaptive controller for boost converters based on the an algebraic parameter identification approach This approach required dealing with a simplified white-box model of the converter. The proposed approach is applied in DC-DC buck and boost SMPC, it can be extended to other types of converters and power devices
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