The internet has made the world a little community, linking millions of people, organizations, and equipment for different purposes. The great impact of these networks in our lives makes their efficiency a vital matter to take care of, and this needs handling some problems including congestion. In this paper, the fuzzy-PID controller is used to control the nonlinear TCP / AQM model. This controller adjusts congestion of the computer network and commits controlled pressurized signaling features. Many experiments were carried out using different network parameter values, various queue sizes, and additional disturbances to verify the robustness and efficiency of the proposed controller. From all experiments carried out in the NS-2 simulator version (2.35), the results show the superiority of the FPID controller under different network traffic conditions.