Construction of adaptive particle swarm optimizers and optimization of parameters in switched dynamical systems

研究了具有柔性自适应函数的粒子群优化算法，提出了三种新型粒子群优化算法。(1)由确定性差分方程控制的粒子群。它在稳定性分析和可重复动力学控制方面具有优势。(2)粒子运动不敏感且粒子间碰撞的粒子群。它适用于多解问题。(3)粒子间连接切换的粒子群。通过调节开关频率，可以控制粒子间的伪距离，实现粒子间的灵活通信。我们还研究了电力电子学的应用，并获得了开关电源变换器控制信号优化和光伏系统最大功率点搜索应用的基本结果。

We have studied particle swarm optimizers(PSOs) with flexible adaptation function to various problems and have proposed three novel PSOs. (1) The PSO governed by a deterministic difference equation. It has advantages in analysis of stability and control of reproducible dynamics. (2) The PSO with insensitive particle movement and inter-near-particle collision. It is suitable for multi-solution problems. (3) The PSO with switched inter-particle connection. Adjusting the switching frequency, we can control inter-particle pseudo-distance and can realize flexible inter-particle communication. We have also studied applications to power electronics and have obtained basic results for applications to control signals optimization in switching power converters and to maximum power point search in photovoltaic systems.