基于人工鱼群算法的智能交流接触器虚拟样机优化设计

Virtual Prototype Optimal Design of Intelligent AC Contactors Based on Artificial Fish-Swarm Algorithm

人工鱼群算法是一种新型的随机搜索优化算法,为求解组合的复杂优化问题提供了一种新的方法。基于网格划分策略和禁忌搜索算法的改进型人工鱼群算法使优化过程能够更好地取得全局最优精确解。本文将改进型人工鱼群算法引入到智能交流接触器吸合与释放全动态过程控制参数和机构结构参数的优化设计中,不仅取得了综合优化的效果,而且保证了机构的快速释放,为实现可靠的微电弧能量分断奠定基础。本文提出了智能交流接触器虚拟样机动态优化设计的思路。

Artificial fish-swarm algorithm（AFSA） is a new random search optimization algorithm,which provides a new idea and method to solve complex optimization problems.The improved AFSA based on grid division and tabu search will make the optimization more accessible to the precise overall solution.By introducing the improved AFSA into the optimization design of intelligent AC contactor＇s control parameters and its mechanism＇s structure parameters in its opening process and closing process,not only comprehensive optimization is achieved,but also guaranteed the rapid release of the mechanism,which laid the foundation for reliable micro-arc energy breaking.This dissertation chiefly proposed a method for intelligent AC contactor＇s virtual prototype dynamic optimization design.