Abstract
A genetic algorithm and Taguchi method were used to optimize parameters for the residual-current device (RCD) snubber circuit of a DC-DC flyback converter. The most suitable algorithm was determined by using test functions to compare performance in three multi-objective optimization methods: non-dominated sort genetic algorithm-II (NSGA-II), multi-objective particle swarm optimization (MOPSO), and multi-objective differential evolution algorithm (MODE). Comparisons of coverage rate, distance between non-dominant solutions, and maximum walking distance showed that NSGA-II was superior to both MOPSO and MODE. Therefore, NSGA-II was used to obtain parameter values for the RCD snubber circuit. However, practical application of the parameter values was limited because the values could not meet the specifications required for real-world circuits. Thus, the parameter values obtained by NSGA-II were used in further factor-level experiments performed by Taguchi method. The experimental results indicated that, compared to previous design methods, the proposed NSGA-II and Taguchi method obtains better parameter values for the RCD snubber circuit.
Highlights
The residual-current device (RCD) snubber is usually used in flyback converter, in order to limit the voltage spikes caused by leakage inductance of the transformer [1]-[3]
From above results and discussion, non-dominated sort genetic algorithm-II (NSGA-II) has better used non-dominated sorting genetic algorithm (NSGA)-II to optimize the design of an RCD buffer performance than multi-objective differential evolution algorithm (MODE) and multi-objective particle swarm optimization (MOPSO)
The above discussion of the working principle of the RCD snubber circuit in the flyback converter described the circuit components that affect the power switch voltage loss and circuit energy loss, which were used as parameters
Summary
The residual-current device (RCD) snubber is usually used in flyback converter, in order to limit the voltage spikes caused by leakage inductance of the transformer [1]-[3]. Huang et al [5] gave a single-objective optimal design method of DC-DC converter with an RCD snubber by using a genetic algorithm and the Taguchi method. To the authors’ best knowledge, there are no literatures to studying the optimal problem of reducing both spike voltage and energy loss on the RCD snubber circuit. Since follow-up studies have not adequately addressed the multi-objective optimal design problem of RCD snubber, this study proposes a multi-objective method for simultaneous optimization of reducing both spike voltage and energy loss on the RCD snubber circuit. The proposed multi-objective optimization method has many potential applications in circuit design.
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