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应用改进PSO算法的PPDAB变换器电流应力优化
PPDAB Converter Current Stress Optimization Using Improved PSO Algorithm
【摘要】 为了优化部分并联双有源桥(PPDAB)变换器开关管的电流应力,首先以高压侧电感电流的均方根值(RMS)为优化目标,设计了一种改进的粒子群优化(PSO)算法,在该算法中,程序通过调用LTspice仿真软件对电路进行仿真并读取仿真结果,避免了传统设计方法中寄生参数和近似计算带来的影响。其次,为了消除实际电路中输出功率的误差,本文提出了一种自适应PI控制算法,该算法能够同时控制两个移相角,从而使得系统能够更快达到设定的输出功率值。
【Abstract】 In order to reduce the current stress of the switches in the partial parallel dual active bridge(PPDAB) converter,an improved particle swarm optimization(PSO) algorithm is designed to optimize the root mean square(RMS)value of the inductor current on the high-voltage side.In this algorithm,the program simulates the circuit by calling the LTspice simulation software and reads the simulation results,which avoids the influence of parasitic parameters and approximate calculations in the traditional design methods.Secondly,in order to eliminate the error of the delivered power in the real converter,an adaptive PI control algorithm is proposed,which can control two phase-shift angles at the same time,so that the system can reach the set value faster.
【Key words】 converter; particle swarm optimization algorithm; partial parallel dual active bridge;
- 【文献出处】 电力电子技术 ,Power Electronics , 编辑部邮箱 ,2025年02期
- 【分类号】TM46;TP18
- 【下载频次】56