Abstract
The paper presents the theoretical analysis and simulation verification of robust fault diagnosis and adaptive parameter identification for single phase transformerless inverters. The fault diagnosis is composed of two parts, fault detection and fault identification. In the fault detection part, a Luenberger observer is designed to realize the detection of faults. Then, we apply a bank of observers to identify the location of faults. Meanwhile, the fault identification observers based estimation along with a gradient descent algorithm are also used in the parameter identification to estimate the actual values of components in a single phase transformerless inverter. Not only we develop the design methodology for the robust fault diagnosis and adaptive parameter identifier but also we present simulation results. The simulation results show the effectiveness of fault diagnosis and the accurate tracking of changes in component parameters for a wide range.
Highlights
The reliability of power electronics systems is increasingly important in many applications: industry, transportation, electric power, and so on
We develop the design methodology for the robust fault diagnosis and adaptive parameter identifier and we present simulation results
Consider the single phase transformerless inverter system modeled as switched system (3); the objective is to design a fault detection observer and a bank of fault identification observers with adaptive parameter identification
Summary
The reliability of power electronics systems is increasingly important in many applications: industry, transportation, electric power, and so on. Fault diagnosis for power electronics systems becomes significant, which can timely detect and eliminate the potential faults and guarantee the stable operation of the system. Many diagnosis methods are proposed, such as model-based method, expertsystem-based method, and neural-network-based method. For these methods, there have been great quantity literatures, for instance, the energy equipment [2], the major aspects of power electronics reliability [3,4,5], and a fast fault diagnosis method for dc-dc converters [6]. We can conclude that it has become very important to diagnose faults at their very inception in order to avoid catastrophic effect in the system and heavy financial losses
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