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基于改进粒子群算法整定的PID网络流量控制研究
引用本文:王环,郑崇伟,黄明真. 基于改进粒子群算法整定的PID网络流量控制研究[J]. 温州大学学报(自然科学版), 2010, 31(1): 41-45. DOI: 10.3875/j.issn.1674-3563.2010.01.007
作者姓名:王环  郑崇伟  黄明真
作者单位:温州大学物理与电子信息工程学院,浙江温州,325035
摘    要:结合经典控制理论和优化控制理论设计了基于改进粒子群算法的PID(Proportion Integral Derivative)控制器,并与经典的PID控制器进行了比较.仿真结果验证,优化后的PID控制器能较好地控制ATM(Asynchronous Transfer Mode)网络流量,减少拥塞,提高网络资源利用率.

关 键 词:ATM网络  粒子群算法  PID控制

Study on Tuning of PID Network Flow Control Based on Modified Particle Swarm Optimization
WANG Huan,ZHENG Chongwei,HUANG Mingzhen. Study on Tuning of PID Network Flow Control Based on Modified Particle Swarm Optimization[J]. Journal of Wenzhou University Natural Science, 2010, 31(1): 41-45. DOI: 10.3875/j.issn.1674-3563.2010.01.007
Authors:WANG Huan  ZHENG Chongwei  HUANG Mingzhen
Affiliation:WANG Huan,ZHENG Chongwei,HUANG Mingzhen (College of Physics , Electronic Information Engineering,Wenzhou University,Wenzhou,China 325035)
Abstract:A PID (Proportion Integral Derivative) controller based on the modified particle swarm optimization was designed by combining classical control theory and optimal control theory. Compared with the classical PID controller, the newly designed controller can control ATM (Asynchronous Transfer Model) network flow better, reduce the probability of congestion and improve the utilization of network resource. The superiority was verified by simulation result.
Keywords:ATM (Asynchronous Transfer Mode) Network  Particle Swarm Optimization  PID (Proportion Integral Derivative) Control  
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