Design a Robust Fractional order TID Controller for Congestion Avoidance in TCP/AQM system

The most important problem that effect on data flow efficiency in network systems the congestion problem, to obtain a stable behavior in TCP/AQM systems, an active queue management (AQM) is adopted for solving congestion and guarantee regular path for communicate in these network. In this paper uses a Matlab program to simulate a robust Fractional Order Tilt Integral Derivative (FOTID) controller for controlling the AQM system, Snake Optimization Algorithm (SOA) is suggested to obtain the controller variables and uses the Integral Time Absolute Error (ITAE) function to adjust system response by eliminating system error. The transient analysis is utilized for the proposed controller and two classical types of controller (PI&PID) to see the superior performance of FOTID proposed controller and then applies robustness analysis to the proposed controller in two step the first step is varying the desired queue length to different values(200,300,400) packet and the second step is by varying the link capacity to ±20% from its original value; in the two test done the controller faces these variations efficiently and return the system response to a stable and robust desired value.