Quasi-Resonant (QR) Controller With Adaptive Switching Frequency Reduction Scheme for Flyback Converter

Park, Jeongpyo; Moon, Young‐Jin; Jeong, Mingyu; Kang, Jin-Gyu; Kim, Sang-Hyun; Gong, Jung-Chul; Yoo, Changsik

doi:10.1109/tie.2016.2523931

Cited by 47 publications

(13 citation statements)

References 17 publications

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“…In the above equations, ω r is the natural frequency of this plant model; ξ is the damping factor; and k iq,sin , k iq,cos , k id,sin , k id,cos are gains that possess special meanings related to sinusoidal internal models. Now consider the Laplace transform of sine (or cosine) functions, which is the model transformation to the frequency domain from the time-domain [32], [33].…”

Section: The Proposed Remedy Methods a Frequency Domain Analysismentioning

confidence: 99%

High-Frequency Injection-Based Sensorless Control for a General Five-Phase BLDC Motor Incorporating System Delay and Phase Resistance

Tian

Molinas

2019

IEEE Access

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This paper investigates the sensorless control of a general Five-phase permanent magnet brushless DC (5-BLDC) motor working at the low speeds. High frequency (HF) injection-based sensorless control is most popular, however, the system delay and stator resistance could deteriorate the sensorless control performance. In this paper, an HF model of 5 BLDCs at frequency-domain is primarily established as a replacement over the conventional static model, and an interpretation from the sinusoidal internal model is carried out to direct the sensorless control implementation. Accordingly, the measured d-axis HF current, which is typically neglected in the conventional method, is reused to demodulate the position angular information from the measured q-axis HF current. The proposed sensorless control is performed on a 5 BLDC drive, and experimental results confirm the effectiveness of this method while comparing its performance with the conventional method. INDEX TERMS Sinusoidal internal model, high-frequency injection, five-phase BLDC motor, sensorless control.

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Section: The Proposed Remedy Methods a Frequency Domain Analysismentioning

confidence: 99%

High-Frequency Injection-Based Sensorless Control for a General Five-Phase BLDC Motor Incorporating System Delay and Phase Resistance

Tian

Molinas

2019

IEEE Access

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“…Reference [16] introduced average current mode control (ACM) for an FC, which employed an outer voltage feedback loop responsible for maintaining constant output voltage, and an inner loop engaged in sensing the input current. Quasi-resonant (QR) controllers for FCs have been presented in References [8,17,18]. PI controllers [19] and PID controllers [20,21] for FCs have also been reported in the literature.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence-Based Controller for DC-DC Flyback Converter

et al. 2019

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This paper presents an intelligent voltage controller designed on the basis of an adaptive neuro-fuzzy inference system (ANFIS) for a flyback converter (FC) working in continuous conduction mode (CCM). The union of fuzzy logic (FL) and adaptive neural networks (ANN) makes ANFIS more robust against model parameters’ uncertainties and perturbations in input voltage or load current. ANFIS inherits the advantages of structured knowledge representation from FL and learning capability from NN. Comparative analysis showed that the ANFIS controller offers not only the superior transient response characteristics, but also excellent steady-state characteristics compared to those of the FL controller (FLC) and proportional–integral–derivative (PID) controllers, thus validating its superiority over these traditional controllers. For this purpose, MATLAB/Simulink environment-based simulation results are presented for validation of the proposed converter compensated system under all operating conditions.

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“…In order to reduce switching power losses, the converter should operate under a soft switching condition [8]. The quasi-resonant switching technique can be adopted for reducing switching power losses [10][11][12][13]. By varying the switching frequency, power switches operate in a quasi-sinusoidal way [10].…”

Section: Introductionmentioning

confidence: 99%

“…The turn-on switching losses can be reduced by turning on the switch at its minimum voltage [12]. However, the inevitable drawback of the quasi-resonant switching technique is that the variable frequency control complicates the design of the filter circuits and control loops [13].…”

Section: Introductionmentioning

confidence: 99%

Soft-Switching Bidirectional Three-Level DC–DC Converter with Simple Auxiliary Circuit

Choi

Yang

2019

Electronics

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This paper suggests a soft-switching bidirectional three-level DC–DC converter with a simple auxiliary circuit. The proposed converter uses auxiliary LC resonant circuits so that the power switches operate under a soft-switching condition. The resonant operation of the LC circuits makes power switches turn on at zero voltage, eliminating the turn-on switching power losses. The proposed converter improves the power efficiency, not using complex power switching circuits, but using simple LC resonant circuits. The operation of the proposed converter is described according to its operation modes. Experimental results for a 1.0 kW prototype are discussed to verify its performance. The proposed converter achieved the power efficiencies of 97.7% in the step-up mode and 97.8% in the step-down mode, respectively, for the rated load condition.

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Quasi-Resonant (QR) Controller With Adaptive Switching Frequency Reduction Scheme for Flyback Converter

Cited by 47 publications

References 17 publications

High-Frequency Injection-Based Sensorless Control for a General Five-Phase BLDC Motor Incorporating System Delay and Phase Resistance

High-Frequency Injection-Based Sensorless Control for a General Five-Phase BLDC Motor Incorporating System Delay and Phase Resistance

Artificial Intelligence-Based Controller for DC-DC Flyback Converter

Soft-Switching Bidirectional Three-Level DC–DC Converter with Simple Auxiliary Circuit

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