Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Fuzzy self-tuning PID control of MC3 LLC resonant LED drivers

  • Li, Delong (School of Electrical Engineering, Guangxi University) ;
  • Lu, Yimin (School of Electrical Engineering, Guangxi University) ;
  • Ge, Xin (School of Electrical Engineering, Guangxi University)
  • Received : 2020.11.24
  • Accepted : 2021.02.25
  • Published : 2021.05.20
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Abstract

An MC3 LLC resonant light-emitting diode (LED) driver is a multi-channel constant current (MC3) output solution based on LLC resonance. Through an effective combination of multiple transformers and a DC block capacitor, this driver allows constant current outputs in multiple channels when the LED channels are unbalanced. This study considers a fuzzy self-tuning proportional integral derivative (PID) control strategy that allows for the self-tuning of PID parameters according to fuzzy inference rules designed using the relationship between the current gain and the switching frequency. Thus, when LED channels are unbalanced, the system allows a constant current output for each of the channels and controls the input voltage disturbances well. Simulation and experimental verifications are carried out, and a 20 W 4-channel constant current power supply design based on LLC resonance is obtained for the LED driver. This realizes soft-switching of the switching device, which reduces system loss and improves system efficiency. Moreover, the adjustment time of the proposed method is half that of fixed-parameter control methods, and the overshoot of the proposed method is smaller than that of fixed-parameter control methods. When compared with PID controllers with fixed parameters, the proposed method is more robust. When a system is disturbed, it recovers faster and has a smaller range of current fluctuation with the proposed method.

Keywords

Acknowledgement

This work was supported by the Key Program of Natural Science Foundation of Guangxi Province of China under Grant 2018GXNSFDA281037 and the National Natural Science Foundation of China under Grant 51667005.

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