Title :
An improved expert intelligent PID algorithm in AQM network
Author :
Hao, Yuxiang ; Yang, Xiaoping ; Chen, Hong ; Guan, He
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Abstract :
The traditional PID controller parameters are hard to tune timely under the rapid changes of the dynamic network circumstances, which affect the PID algorithm´s control effects on network data flows. To alleviate the problem, a novel AQM algorithm based on PID controller is proposed, called the improved expert intelligent PID algorithm (IEI-PID). By combining expert knowledge with PID and adding more detail control rules, the algorithm receive better control effect. The NS2 simulation has been done to compare IEI-PID with classic PID algorithm (CPID) and expert intelligent PID algorithm (EI-PID), and the former has superior performance.
Keywords :
Internet; expert systems; queueing theory; telecommunication congestion control; telecommunication network routing; telecommunication traffic; three-term control; AQM network; Internet; NS2 simulation; PID controller; active queue management; congestion avoidance mechanism; congestion control; expert knowledge; improved expert intelligent PID algorithm; network data flows; Algorithm design and analysis; Asynchronous transfer mode; Equations; Integrated circuits; Mathematical model; Silicon; Tin; AQM; PID; congstion control; expert intelligent;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610166