Failure Prevention in DC–DC Converters: Theoretical Approach and Experimental Application on a Zeta Converter

Abstract

In this article, we propose a monitoring procedure based on a multilayer neural network with multivalued neurons (MLMVN) capable of preventing catastrophic failures of dc-dc converters. The neural classifier allows both the detection of any malfunction and its localization. Thanks to the low computational complexity, the proposed method operates online, estimating the deviations of the passive components from their nominal values: this allows control strategies to be promptly adopted and operation of the dc-dc converter to be kept in high efficiency and reliability conditions. Since measuring the voltage and current on each component increases the complexity of the system, a testability analysis is proposed with the aim of identifying the minimum number of measurements needed to distinguish the classes of failure. To make the testability phase easier and more intuitive, a graphical representation is proposed. As a case study, prognostic analysis has been applied to prevent catastrophic failures in a synchronous Zeta converter. Several fault conditions have been analyzed through simulations and experimental tests. The obtained results confirm the ability of the proposed method to prevent failures and, also, show that the application of MLMVN results in a better performance than classic solutions available in the literature, such as support vector machine.

A novel technique for torque ripple suppression in BLDC motor drive using switched capacitor based SEPIC converter

“…The proposed DC-DC converter shown in Figure 4, has been designed for an operating frequency of 50 kHz, taking L1 as 500 µH, C1 as 5 µF, C21 and C22 as 5 µF and C0 as 1 µF. In order to analyze the performance of the proposed converter, a comparative analysis has been performed between single-ended primary-inductor converter (SEPIC) [20], ZETA [21], and SC based ZETA [22]. Table 1 shows the comparative analysis of the output voltage of the proposed converter with the above-mentioned converters.…”

Parameter Observer Useable for the Condition Monitoring of a Capacitor

“…To reduce the duration and amplitudes of the transient oscillations of ε(t), we adopt a unit damping factor 𝐾 𝑝 2√𝐾 𝑖 = 1. This requires the expression (11) to be a perfect square of the form (12), where 𝜔 𝑜 has the meaning of the natural frequency of the observer:…”

“…This requires the expression (11) to be a perfect square of the form (12), where ω 0 has the meaning of the natural frequency of the observer:…”

“…There are more recent studies on the operational safety of equipment, in particular of power converters, from several perspectives. A wide range of analysis and decisionmaking techniques are used for this purpose, nowadays reaching the use of machine learning techniques [10][11][12]. Specific interfaces and algorithms, suitable for interaction with converters, are required for their application.…”

Performance Analysis of Zeta Converter for Photovoltaic Powered Micromobility Charging Station

“…Photovoltaic-based charging systems offer a promising approach by harnessing solar energy, and the Zeta converter has emerged as a viable topology for efficient voltage conversion in such systems [10]. This converter can handle a wide range of input voltages, making it suitable for applications where the input voltage varies significantly, such as PV [11].…”