Low-Complexity State-Space-Based System Identification and Controller Auto-Tuning Method for Multi-Phase DC–DC Converters

Kanzian, Marc; Gietler, Harald; Unterrieder, Christoph; Agostinelli, Matteo; Lunglmayr, Michael; Huemer, Mario

doi:10.1109/tia.2018.2878687

Cited by 12 publications

(4 citation statements)

References 30 publications

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“…The selected converter model is always application-dependent and the complexity of the SI technique is subject to the modelling approximations [169]. Iterative and recursive estimation algorithms, such as least mean squares [170], recursive least squares [169] and Kalman filter [171], have been integrated in the adaptive control of DC/DC converters, providing simple adaptive mechanisms with higher convergence speed, higher accuracy of parameter estimation, and lower sensitivity to disturbances than the nonparametric SI techniques [166]. The main issue of these parameter estimation algorithms, especially the recursive ones, is the high computational burden due to the large number of needed mathematical operations, which may require a high-specification microprocessor for the successful implementation in the converter hardware.…”

Section: Adaptive Controlmentioning

confidence: 99%

“…Ref. [170] proposed a state-space-based parametric SI technique that reduces the computational burden in comparison to transfer function-based techniques, since fewer parameters have to be estimated. Ref.…”

Section: Adaptive Controlmentioning

confidence: 99%

“…[171] proposed partial update methods applied to the Kalman-filter-based SI to reduce the computational burden of the identification algorithm. Noniterative estimation methods, such as limit cycle oscillation [172] or relay schemes, present low computational burden, but suffer from low parameter estimation accuracy and cause oscillations of large amplitude in the output voltage of the converter during the identification process [166,170]. The parametric SI techniques can be easily applied in adaptive control structures such as APPC and MRAC for the online parameter estimation, and can be implemented directly in digital control designs, eliminating the errors of domain transformation [166].…”

Section: Adaptive Controlmentioning

confidence: 99%

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Review of Modern Control Technologies for Voltage Regulation in DC/DC Converters of DC Microgrids

Korompili

Monti

2023

Energies

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This paper provides an overview of modern feedback control methods for the voltage regulation in DC/DC converters of DC microgrids. Control objectives and practical restrictions are defined and used as indicators for the analysis and performance assessment of the control methods. After presenting the concept of each control method, the advantages and limitations in the converter applications are discussed. The main conclusions of this overview can be used as recommendations for the selection of the suitable control method according to the control requirements in the DC microgrid. The low robustness against disturbances is a major issue in all control methods. For the enhancement of the robustness of the feedback control methods, three approaches are reviewed. Applications of these approaches in DC/DC converters are compared with regard to the achieved disturbance rejection and the related cost of nominal performance degradation. The disturbance/uncertainty estimation and attenuation (DUEA) framework appears to be the most promising approach to compromising these opposing control objectives. This overview is presented for a general DC/DC converter, without any additional control design requirement imposed by a specific converter plant. This allows the generalisation of the conclusions of the performance assessment, which can facilitate the application of the control methods in similar systems, such as in AC/DC converters or motor drives.

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Section: Adaptive Controlmentioning

confidence: 99%

Section: Adaptive Controlmentioning

confidence: 99%

Section: Adaptive Controlmentioning

confidence: 99%

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Review of Modern Control Technologies for Voltage Regulation in DC/DC Converters of DC Microgrids

Korompili

Monti

2023

Energies

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“…This is well suited for tracking ADCs, due to their limited slew rate. An application example for a tracking ADC is shown in Kanzian (2018). It is used in a controller of a dcdc converter.…”

Section: Introductionmentioning

confidence: 99%

10-bit tracking ADC with a multi-bit quantizer, variable step size and segmented current-steering DAC

Bramburger

Killat

2019

Adv. Radio Sci.

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Abstract. This paper presents a 10-bit tracking ADC using a multi-bit quantiser and a segmented current-steering DAC. The quantiser allows a dynamical adjustment of the step size dependent on the input signal waveform. This mitigates the limited slew rate of delta encoded ADCs. Energy consumption induced by 1 LSB ripple is removed by the quantiser. The segmented current-steering DAC allows simple control, good monotonicity and improved transient response when compared to previous design as well as potential power reduction.

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Full-parameter constrained parsimonious subspace identification with steady-state information for DC–DC converters

Hou

Yang

et al. 2023

Control Theory Technol.

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Low-Complexity State-Space-Based System Identification and Controller Auto-Tuning Method for Multi-Phase DC–DC Converters

Cited by 12 publications

References 30 publications

Review of Modern Control Technologies for Voltage Regulation in DC/DC Converters of DC Microgrids

Review of Modern Control Technologies for Voltage Regulation in DC/DC Converters of DC Microgrids

10-bit tracking ADC with a multi-bit quantizer, variable step size and segmented current-steering DAC

Full-parameter constrained parsimonious subspace identification with steady-state information for DC–DC converters

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