Analysis of predictive control for boost converter in power factor correction application

Bartsch, Arthur G.; Meirinho, Christian Joezer; Novaes, Yales Rômulo de; Cavalca, Mariana Santos Matos; Oliveira, José de

doi:10.1109/induscon.2016.7874470

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…In this paper, the horizon is set to one step because the performance of the converter is high enough and there is no distinct difference between one‐step prediction and multi‐step prediction, as described in Section 4.2. Many scholars have evaluated one horizon prediction and found it to be well behaved [27]. This allows the cost function to be simplified as follows:

J = false(i_{ref} false(k + 1 false) (|, _{{\overset{false^}{R}}_{L}, \overset{false^}{R}}) - i_{p r e d} false(k + 1 false) (|, _{{\overset{false^}{R}}_{L}, \overset{false^}{R}}) false)^{2} .

The FCS MPC method involves the following three steps.…”

Section: Controller Designmentioning

confidence: 99%

Composite adaptive model predictive control for DC–DC boost converters

Tianying

et al. 2018

IET Power Electronics

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A composite adaptive model predictive control (MPC) scheme is proposed to mitigate model mismatches due to parameter uncertainties and disturbances in controller designs for DC-DC boost converters. First, a model-based feedforward compensator based on a cascade proportional-integral (PI) MPC controller was developed as a current reference to improve the dynamic response performance. Then, an observer was employed to construct an accurate model and thereby avoid overcompensation and poor prediction due to model mismatch. Finally, a finite control set MPC was implemented to select a suitable switching state with which to realise output voltage regulation. Compared with a traditional PI MPC, the proposed controller has a rapid dynamic response, and compared with an unknown offset free MPC, the proposed controller is well suited to a simplified model. The proposed methods and benefits were validated by simulations in MATLAB/Simulink and by experiments on an NI Compact RIO rapid control prototype test bench.

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J = false(i_{ref} false(k + 1 false) (|, _{{\overset{false^}{R}}_{L}, \overset{false^}{R}}) - i_{p r e d} false(k + 1 false) (|, _{{\overset{false^}{R}}_{L}, \overset{false^}{R}}) false)^{2} .

The FCS MPC method involves the following three steps.…”

Section: Controller Designmentioning

confidence: 99%

Composite adaptive model predictive control for DC–DC boost converters

Tianying

et al. 2018

IET Power Electronics

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“…It also has the advantage of fast dynamic response and does not require a separate pulse-width modulation (PWM) [28]- [32]. The MPCC method controls the current of the boost PFC converter by defining a cost function based on the system model [33]. Using the derived system model, the future inductor current value when the switch is turned on/off is predicted and compared with the reference.…”

Section: Introductionmentioning

confidence: 99%

A Model Predictive Current Control Method for Achieving a High Efficiency and High Robustness Boost PFC Converter Operation

Ko,

Koh,

Choi

2023

IEEE Access

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This paper proposes a boost PFC converter based on model predictive current control to achieve both improved efficiency and robustness against voltage distortion. The control method of the conventional boost PFC converter adopts a fixed switching frequency, so it is limited in improving the switching loss. In addition, distorted current occurs under distorted voltage, which degrades converter performance. However, the proposed method operates with a variable switching frequency because it predicts the inductor current based on a cost function and then controls it. When this method is applied, the switching frequency is reduced near the peak voltage where the current is the highest, so it is facilitated to improve efficiency. In addition, since it detects the frequency of the input voltage and generates a sine wave internally, it is robust against voltage distortion. The proposed method confirmed the facilitation of efficiency improvement compared to the conventional predictive current mode control. To verify the effectiveness of the proposed method, simulation and Hardware-In-the-Loop (HIL) tests are performed using PLECS RT-box. In addition, experiment is conducted by configuring an experimental setup of a 3.3kW boost PFC converter based on the SiC power module.

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Design and Simulation of Boost Converter for Correction of Power Factor and THD Reduction

Renu¹,

Jalluri²

2018

Lecture Notes in Electrical Engineering

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Analysis of predictive control for boost converter in power factor correction application

Cited by 4 publications

References 13 publications

Composite adaptive model predictive control for DC–DC boost converters

Composite adaptive model predictive control for DC–DC boost converters

A Model Predictive Current Control Method for Achieving a High Efficiency and High Robustness Boost PFC Converter Operation

Design and Simulation of Boost Converter for Correction of Power Factor and THD Reduction

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