基于混合PSO/DE算法的AQM控制器优化设计

Optimum Design for AQM Controller Based on Hybrid PSO/DE Algorithm

主动队列管理(AQM)是一种减少TCP/IP网络丢包和提高网络利用率的关键拥塞控制策略。将比例-积分-微分(PID)控制器用于Internet路由器的主动队列管理,为避免参数整定试凑法的盲目性,提出混合微粒群/差分进化优化算法用于PID控制器参数优化。所提出的方法在给定参数空间中进行组合优化搜索,可以迅速得到使性能指标优化函数极小化的一组PID控制器参数。仿真结果表明,在正常业务流和突发业务流两种情况下,该方法设计的控制器均具有良好的动静态性能。

Active queue management （ AQM ） is a key congestion control scheme for reducing packet loss and improving network utilization in TCP/IP networks. A proportional-integral-derivative （ PID ） controller is proposed as an active queue manager for internet routers. A hybrid PSO/DE optimum algorithm is applied to optimization of PID controller parameters for avoiding the aimlessness of the error and trial method of controller parameter tuning. The proposed method can fast obtain a set of PID controller parameters that minimizes the performance function by searching the given controller parameters space. The simulation experimental results show that the dynamic and steady performances of the proposed algorithm are sound under the two conditions of common business flow and sudden business flow.