Recently many active queue management (AQM) algorithms have been proposed to address performance degradations of end-to-end congestion control. However, these AQM algorithms show weaknesses to detect and control congestion under dynamically changing network situations. In this paper, we propose a predictive and robust AQM algorithm, called proportional-integral-derivative (PID)-controller, using PID feedback control to remedy the weaknesses of existing AQM proposals. The PID-controller is able to detect and control the incipient as well as current congestion adaptively and proactively to dynamically changing network environments. A simulation study over a wide range of IP traffic conditions shows that PID-controller outperforms other AQM algorithms such as Random Early Detection (RED) [9] and Proportional-Integral (PI) controller [13] in terms of the queue length dynamics, the packet loss rates, and the link utilization.