Circular correlation based identification of switching power converter with uncertainty analysis using fuzzy density approach

Roinila, Tomi; Helin, Tomi; Vilkko, Matti; Suntio, Teuvo; Koivisto, Hannu

doi:10.1016/j.simpat.2009.03.006

Cited by 38 publications

(22 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We will use the simplified transfer functions, however, in certain cases for providing better physical insight into the converter dynamics, when performing approximate analyses. The three transfer functions comprising the output dynamics of the PCM-controlled buck converter in DCM are given in (22). The unterminated denominator ( ∆ ) of the transfer functions is given in (23).…”

Section: Small-signal Models Of Pcm-controlled Buck Converter In Dcmmentioning

confidence: 99%

“…The rest of the paper is organized as follows: Section 2 introduces briefly the PCM-modeling method developed in [10] in a generalized unterminated form, and provides the corresponding explicit transfer functions for a buck converter. Section 3 presents the validation of the developed small-signal models by utilizing Matlab TM Simulink-based switching models, and the pseudo-random binary-sequence-based frequency-response measurement technique introduced in [22,23]. The conclusions are provided finally in Section 4.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Modeling and Analysis of PCM-Controlled DCM-Operating Buck Converters—A Reexamination

Suntio

2018

Energies

Self Cite

View full text Add to dashboard Cite

Peak-current-mode (PCM) control was proposed in 1978. The observed peculiar behavior caused by the application of PCM-control in the behavior of a switched-mode converter, which operates in continuous conduction mode (CCM), has led to a multitude of attempts to capture the dynamics associated to it. Only a few similar models have been published for a PCM-controlled converter, which operates in discontinuous conduction mode (DCM). PCM modeling is actually an extension of the modeling of direct-duty-ratio (DDR) or voltage-mode (VM) control, where the perturbed duty ratio is replaced by proper duty-ratio constraints. The modeling technique, which produces accurate PCM models in DCM, is developed in early 2000s. The given small-signal models are, however, load-resistor affected, which hides the real dynamic behavior of the associated converter. The objectives of this paper are as follows: (i) proving the accuracy of the modeling method published in 2001, (ii) performing a comprehensive dynamic analysis in order to reveal the real dynamics of the buck converter under PCM control in DCM, (iii) providing a method to improve the high-frequency accuracy of the small-signal models, and (iv) developing control-engineering-type block diagrams to facilitate the development of generalized transfer functions, which are applicable for PCM-controlled DCM-operated buck, boost, and buck-boost converters.

show abstract

Section: Small-signal Models Of Pcm-controlled Buck Converter In Dcmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Analysis of PCM-Controlled DCM-Operating Buck Converters—A Reexamination

Suntio

2018

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…As such, higher frequency observation is necessary, which complicates the self-test problem. A multi-period maximum length pseudo random binary sequence (MLBS) is used as the excitation signal in [12]. The transfer functions are identified from the measurement data with circular cross-correlation method.…”

Section: Previous Research Work On Self-testmentioning

confidence: 99%

“…In contrast to a previous similar technique [12], the proposed approach uses only a binary pseudo random bit sequence, doesn't require analog coupling, extracts stability parameters directly from measurements without resorting to computationally intensive procedures, and the work within the closed-loop system, making it more suitable for fully integrated DC-DC converters. 8…”

Section: Research Objectivementioning

confidence: 99%

Disturbance-free BIST for loop characterization of DC-DC buck converters

Beohar

Bakliwal

Roy

et al. 2015

2015 IEEE 33rd VLSI Test Symposium (VTS)

View full text Add to dashboard Cite

Modern Complex electronic system include multiple power domains and drastically varying power consumption patterns, requiring the use of multiple power conversion and regulation units. High frequency switching converters have been gaining prominence in the DC-DC converter market due to their high efficiency.Unfortunately, they are all subject to higher process variations jeopardizing stable operation of the power supply.This research mainly focus on the technique to track changes in the dynamic loop characteristics of the DC-DC converters without disturbing the normal mode of operation using a white noise based excitation and correlation. White noise excitation is generated via pseudo random disturbance at reference and PWM input of the converter with the test signal being spread over a wide bandwidth, below the converter noise and ripple floor. Test signal analysis is achieved by correlating the pseudo-random input sequence with the output response and thereby accumulating the desired behavior over time and pulling it above the noise floor of the measurement set-up. An off-the shelf power converter, LM27402 is used as the DUT for the experimental verification. Experimental results show that the proposed technique can estimate converter's natural frequency and Q-factor within ±2.5% and ±0.7% error margin respectively, over changes in load inductance and capacitance.

show abstract

“…The authors in [7] demonstrated the feasibility of incorporating fully automated cross-correlationbased frequency-response-measurement capabilities in digital pulse-width-modulated (PWM) controllers with low additional cost. Further improvements for the procedures were made by the authors in [8]- [11].…”

Section: Introductionmentioning

confidence: 99%

MIMO-Identification Techniques in Frequency-Response Measurements of Power-Electronic Systems

Roinila¹

2012

2012 Asia-Pacific Power and Energy Engineering Conference

Self Cite

View full text Add to dashboard Cite

Switched-mode converters play a significant role in modern society. Their operation are often crucial in various electrical applications affecting the every day life. Therefore, the quality of the converters needs to be reliably verified. Recent studies shows that the converters can be fully characterized by a set of frequency responses which can be efficiently used to validate the proper operation of the converters. Consequently, several methods have been proposed to measure the frequency responses fast and accurately. This paper extends those methods and proposes the use of multiple-input multiple-output (MIMO)-identification techniques. Compared to the conventional methods, where a system is analyzed through single-input experiments, the proposed techniques provide several advantages such as shorter experiment time. The method requires a set of uncorrelated excitation sequences having strictly defined auto-correlation properties.

show abstract

Circular correlation based identification of switching power converter with uncertainty analysis using fuzzy density approach

Cited by 38 publications

References 14 publications

Dynamic Modeling and Analysis of PCM-Controlled DCM-Operating Buck Converters—A Reexamination

Dynamic Modeling and Analysis of PCM-Controlled DCM-Operating Buck Converters—A Reexamination

Disturbance-free BIST for loop characterization of DC-DC buck converters

MIMO-Identification Techniques in Frequency-Response Measurements of Power-Electronic Systems

Contact Info

Product

Resources

About