基于MOPSO三重移相控制优化研究

Research on Optimal Control of Triple Phase Shift Angle Based on MOPSO

摘要: 三重移相控制双向全桥(Dual-Active-Bridge, DAB) DC/DC变换器功率密度高、工作方式灵活应用非常广泛，但是存在控制量复杂、回流功率高的缺点。本文针对以上缺陷，通过分析三重移相控制策略，进一步分析三自由度对传输功率和电感电流有效值的不同影响，设计了传输功率、电感电流有效值与三重移相控制中三自由度的关系方程；基于该方程，采用智能粒子群算法对移相角进行优化，能够提高最优移相角收敛速度。仿真和实验表明该方法可以实现降低回流功率与降低电感电流有效值的目标。

Abstract: Dual-active-bridge (DAB) DC/DC converter is widely used for its high power density and flexible operation mode. But it also has the disadvantages of complicated control amount and high return power. However, the complexity of control quantity and high reflux power are the main disadvantages of the system, which has become the bottleneck of its development. In view of the above defects, by analyzing the triple-phase-shift (TPS) control strategy, this paper further analyzes the different effects of the three phase-shifting degrees of freedom on the transmission power and the effective values of the inductance current. In this paper, based on the TPS control strategy, the influence of three degrees of freedom on transmission power and effective value of inductor current is analyzed, and the relationship equation between the transmitted power and the effective values of the inductance current in the TPS control system is designed. Based on the equation, intelligent particle swarm optimization (PSO) is used to optimize the phase shift angle. the method that using intelligent PSO to optimize the three phase shift angle has been proposed, which can improve the convergence speed of the optimal phase shift angle. Simulation and experiments show that this method can improve the transmission power and reduce the effective value of inductance current.