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Research on PID Control Algorithm and Parameter Settings in Communication Network Congestion Control

Author: ZhangZhiPeng
Tutor: ChenHong
School: Jilin University
Course: Control Theory and Control Engineering
Keywords: Network Congestion Control PI algorithm PID algorithm P-Fuzzy PID algorithm Parameter tuning
CLC: TP393.07
Type: Master's thesis
Year: 2009
Downloads: 97
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Abstract


This paper first describes the Internet congestion control mechanism . According to their different positions , network congestion control algorithm is divided into two categories : the source end congestion control algorithm (TCP congestion control ) and router IP congestion control algorithm . And focuses on the RED active queue management algorithm . Secondly , based on V.Misra et al established TCP connections on congestion window dynamics model , PI algorithm and PID algorithm . The bilinear transform the discrete model of PI and PID controllers . The second-order theory of optimal model to configure the PI algorithm parameters ; stability margin theory of PID algorithm parameters to configure . Network simulation software NS2 simulation analysis of the performance of the two algorithms and experimental results show that the the PI algorithm parameter configuration than the default parameter configuration faster adjustment instantaneous queue length near to the desired value , and packet loss rate is low , but the time delay increased is large , the queue with large jitter . PID algorithm in large delay still able to maintain the stability of the queue , packet loss rate is less than the PI algorithm , but less effective in heavy load environment . Finally, the combination of PID algorithm and the advantages of fuzzy control is proposed and designed the P-Fuzzy PID algorithm . Their design ideas , large errors when using the P controller parameter configuration considering the speed of response , the error decreases rapidly . Error reaches a specified threshold , use the switch to switch to the fuzzy PID controller , to achieve fast transient process and stability , and excellent steady-state performance . The simulation analysis shows its strong adaptability to the changing network environment for load and delay , and can be quickly adjusted to the desired value near instantaneous queue length , low packet loss rate . Especially in heavy environment , its performance was superior to the PID algorithm.

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