Predictive digital current programmed control

Chen, Jingquan; Prodić, Aleksandar; Erickson, Robert W.; Maksimović, Dragan

doi:10.1109/tpel.2002.807140

Cited by 488 publications

(43 citation statements)

References 16 publications

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“…3. The sampling of the average phase current is represented by the samplers, S. Given the symmetry of the converter waveforms in continuous conduction mode, the average phase current can be obtained by sampling once in the middle of the corresponding transistor conduction interval at any point of operation [9,12,13]. The phase-shifted operation of the phase-2 sampler with respect to the phase-1 sampler, S, is modelled by means of the time delay and advance units, e sT/2 and e -sT/2 according to the sampler decomposition method [9].…”

Section: B Small-signal Model Of the Converter With Digital Average mentioning

confidence: 99%

Modeling Phase Interactions in the Dual-Interleaved Buck Converter Using Sampler Decomposition

Villarruel-Parra

Forsyth

2019

IEEE Trans. Ind. Electron.

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Abstract-The averaged small-signal model of the dualinterleaved buck converter is extended to include the phase interaction effects that arise from the interleaved sampling of the phase currents. Sampler decomposition techniques are used to extend the averaged model, revealing a slow-scale instability that can place significant restrictions on the choice of controller parameters. The model is confirmed by simulations and measurements using a 60kW dual-interleaved prototype with Inter-Phase Transformer (IPT), however the analysis is equally applicable to interleaved converters without magnetic coupling.

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Section: B Small-signal Model Of the Converter With Digital Average mentioning

confidence: 99%

Modeling Phase Interactions in the Dual-Interleaved Buck Converter Using Sampler Decomposition

Villarruel-Parra

Forsyth

2019

IEEE Trans. Ind. Electron.

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“…peak current control [14], average current control with input voltage sensing [15] and without input voltage sensing [16,17], hysteresis control [18], one cycle control [19], nonlinear carrier control [20], fuzzy logic control [21], predictive control [22], duty ratio feedforward control [23], sliding mode control [24], R-S-T digital control [25], optimal control [26] and adaptive control [27]. For our networked VFD, average current control without input voltage sensing technique [17] has been chosen for robustness.…”

Section: A Boost Rectificationmentioning

confidence: 99%

Networked PFC drive for SPPSCIM air conditioners to enable elastic load operation in constrained power systems

Ibrahim

Zaffar

2015

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society

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Large HVAC systems are good candidates for elastic loads in demand side management optimization of smarter grid infrastructures. There is an increaseing trend of using Split-type Air Conditioners (ACs) in residential, commercial and industrial setups for fine granularity temperature control. The traditional control in each unit is through duty-cycle based hysteretic method which is simple but inefficient and requires power spikes at every start-up of the compressor. In developing countries with weak grids, people rely on backup sources like generators and UPS. Large power surge at each turn-on inflicts huge pressure on these constrained resources. Limited work has been reported that aims at energy optimization and controlled operation of Splittype ACs constructed using single phase permanent split capacitor induction machine (SPPSCIM). Our work targets operational optimization, efficiency enhancement and increased load handling capability of contrained power systems in setups employing multiple AC units. This is done through networked Variable Frequency Drives (VFD) for conventional ACs which allow elimination of surge current at turn-on and tighter setpoint control while drawing sinusoidal current near unity power factor from the constrained source. Furthermore, the networked operation allows integration of existing installed base of standalone units through Building Management System (BMS) with the central control infrastructure. The prototype networked VFD is tested on a 2.3kW Mitsubishi Electric Split-type AC through Wi-Fi and the results are presented to confirm the expected results in network mode of operation.

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“…A digital predictive dead-beat control method is introduced to update the duty cycle through several switching cycles, instead of every switching cycle, so as to reduce the calculation burden [6], but the power factor of PFC converter is obviously decreased. The desired duty cycle for each switching cycle is updated via the values of previous duty cycle, input inductor current, input voltage and output voltage in [7], but the calculation error of the digital control loop is accumulated, and the accuracy of the duty cycle value is reduced. A direct duty cycle calculation algorithm is proposed in [8], to update the duty cycle in advance with low calculation requirement, but the regulation capability is not satisfactory under wide load variation.…”

Section: Introductionmentioning

confidence: 99%

A new digital predictive control strategy for boost PFC converter

Sun

et al. 2015

IEICE Electron. Express

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A new digital predictive control strategy for a single-phase boost power factor correction (PFC) converter is presented in this paper, to reduce the harmonic distortion and improve the dynamic response. Based on the converter circuit structure, the values of output voltage and inductor current of next switching cycle are predicted in advance. The steady-state algorithm and the dynamic-state algorithm are implemented respectively, the duty cycle is calculated only via the predicted output voltage and inductor current values during the steady process, and the optimized duty cycle is predicted during the dynamic process, to improve the characters of PFC converter. The single-phase boost PFC converter with the proposed digital predictive control strategy has been implemented via the field programmable gate array (FPGA). The experimental results indicate that the proposed digital control strategy can improve the power factor and the dynamic response of PFC converter simultaneously.

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Predictive digital current programmed control

Cited by 488 publications

References 16 publications

Modeling Phase Interactions in the Dual-Interleaved Buck Converter Using Sampler Decomposition

Modeling Phase Interactions in the Dual-Interleaved Buck Converter Using Sampler Decomposition

Networked PFC drive for SPPSCIM air conditioners to enable elastic load operation in constrained power systems

A new digital predictive control strategy for boost PFC converter

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