Abstract: PID controller for Active Queue Management（AQM） is not realizable to deal with the large delay and turn parameters online in dynamic network condition.A novel active queue management algorithm for delay network based on Fuzzy PID control and Gain Adaptive Smith（GAS-FPID） is proposed，which can achieve PID parameters on-line self-adapting by fuzzy control under the dynamic delay network circumstances.And，gain adaptive Smith is successfully introduced into feedback data’s advanced prediction to compensate delay.The performance of the GAS-FPID is verified by NS simulation results，which also shows higher robustness and stability.

摘要： 针对PID控制器无法严格处理主动队列管理（AQM）中的大时滞情况，且不能随着变化的网络环境在线调节参数，提出了一种基于增益自适应Smith预估控制和模糊控制的大时滞网络的自适应PID主动队列管理（GAS-FPID）算法。引入增益自适应Smith预估控制器实现滞后补偿，模糊控制器来实现PID参数动态网络环境的在线调整；NS2仿真表明，所提出算法能克服滞后的影响，能快速的适应动态网络环境，具有很好的稳定性和鲁棒性。