An Analytical Design Method of PID Controller Based on AQM/ARQ

Active queue management (AQM) is a very active research area in networking. As a complementary mechanism to the congestion control of end-to-end systems, AQM, used on the intermediate nodes, can provide high throughputs for routers and control the queue length effectively at the same time. Based on a model of TCP and AQM, a new PID controller is designed analytically using H∞ optimal control theory in this paper. The specialty of this controller is that a single parameter tuning method is proposed, through which the nominal performance and robust performance can be adjusted monotonically to achieve the trade-off. The performance of the controller is verified and compared with other methods using NS simulations. The result shows the advantages of the proposed PID controller.

[1]  Steven H. Low,et al.  REM: active queue management , 2001, IEEE Network.

[2]  Xi-Cheng Lu.  An Adaptive PI Active Queue Management Algorithm , 2005 .

[3]  T. V. Lakshman,et al.  SRED: stabilized RED , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[4]  Kang G. Shin,et al.  A self-configuring RED gateway , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[5]  Martin May,et al.  Aggregate traffic performance with active queue management and drop from tail , 2001, CCRV.

[6]  Wu-chang Fengy,et al.  BLUE: A New Class of Active Queue Management Algorithms , 1999 .

[7]  Donald F. Towsley,et al.  On designing improved controllers for AQM routers supporting TCP flows , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[8]  V. Jacobson,et al.  Congestion avoidance and control , 1988, CCRV.

[9]  QUTdN QeO,et al.  Random early detection gateways for congestion avoidance , 1993, TNET.

[10]  David Ott,et al.  Tuning RED for Web traffic , 2001, TNET.

[11]  R. Srikant,et al.  A time scale decomposition approach to adaptive ECN marking , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[12]  Vishal Misra,et al.  Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED , 2000, SIGCOMM.

[13]  Deborah Estrin,et al.  Recommendations on Queue Management and Congestion Avoidance in the Internet , 1998, RFC.

[14]  Lin Chuang,et al.  Design a PID controller for active queue management , 2003, Proceedings of the Eighth IEEE Symposium on Computers and Communications. ISCC 2003.

[15]  Yugeng Xi,et al.  Design PID controllers for desired time-domain or frequency-domain response. , 2002, ISA transactions.