Subjects: Dynamic and Electric Engineering >> Electrical Engineering submitted time 2018-12-25 Cooperative journals: 《电气工程学报》
Abstract:为克服电力变换器优化设计中各种目标的相互冲突,以效率、物理尺寸(体积、质量和面积)和成本为优化目标建立电力变换器多目标优化模型,采用多目标粒子群优化(MOPSO)算法对建立的模型进行求解,决策者可在最终提供的最优解集中找到不同折衷的最优解。本文以 Vienna 整流器和 Buck 变换器作为研究对象,分别建立各自的多目标优化函数,导入器件数据库,在 Matlab 上实现了 MOPSO 算法。仿真实验结果表明了 MOPSO 算法的可行性、覆盖性和收敛性,并能在比较短的时间里收敛到最优解集。
Subjects: Dynamic and Electric Engineering >> Electrical Engineering submitted time 2018-06-27 Cooperative journals: 《电气工程学报》
Abstract: Presently, the damping injection of passivity-based controller of Buck converter can’t make converter acquire excellent performance. Aiming at this problem, an approach is proposed which can be used to calculate and optimize damping injection in the paper. Firstly, the transfer function of the Buck converter system based on passivitybased controller is established, the output current and its overshoot of the system is found when input is step, and finally the range of value of the damping injection is decided by correcting overshoot of the output current response. The damping injection is optimized by using genetic algorithm and the optimal damping injection is obtained. The Buck converter can get excellent performance due to passivity-based controller based on optimal damping injection. The simulation results prove the feasibility of the passivity-based control based on optimal damping injection proposed in this paper.