Abstract
System identification is a scientific field with a wide range of applications, including transport and transportation systems. Automotive industry has a growing trend of power converters implementation. In addition, intelligence of converters is developing. Thus, the power electronics and autotronics are application areas where identification can also be applied. Since buck (step-down), boost (step-up) and buck-boost are the most common topologies of the converters in automobiles, this article aims to demonstrate possibilities of using the identification procedure on the synchronous buck converter. The objective is to obtain a parametric model that could be further useful in analysis and other work with the converter.
Highlights
System identification is very interesting nowadays as it can improve and reduce system design time
The article deals with demonstration of identification possibilities applied in the field of power electronics and autotronics
In addition to mapping the currently used methods, the article deals with the offline identification of the real step-down converters
Summary
System identification is very interesting nowadays as it can improve and reduce system design time. Ability of a converter to recognize its parameters extends the possibilities to improve its dynamic properties and better and more stable control. The SMPS regulator should detect changes in the load in real time and adapt its control laws Such regulators are named as adaptive or self-tuning regulators and should quickly identify their loads, more accurately place poles, better enable transient-suppressing circuits and calculate optimal switching trajectory paths [1]. The second group is continuous identification methods (online) They are characterized by a recursive approach to data processing, where the information brought by new - fresh data is only used to correct (update) the original model. Two experiments on non-isolated digitally controlled DC-DC synchronous step-down converters are presented to demonstrate possibilities of identification. Both converters were connected to evaluation kit containing the TMS320F28069F processor for digitally controlling the converter
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