Abstract: Under high-speed dynamic winding conditions, the tension detection signal collected by servo motors contains a large amount of clutter, resulting in large steady-state fluctuations in tension and reducing the quality of winding processing. Therefore, a research on constant tension automatic control of servo motors based on sensor data feedback and fuzzy PID is proposed. Real time collection of raw tension data on site is achieved through the use of tension sensors, and abnormal sensing data caused by mechanical vibration and electromagnetic interference on site is eliminated through pre data filtering and correction algorithms, providing a pure and reliable feedback data source for precise control in the backend. Build a fuzzy rule inference system, relying on the two core input variables of actual tension deviation value and deviation change rate, establish multi-dimensional fuzzy tuning logic, and achieve online dynamic self adjustment of PID controller parameters. Further build a tension negative feedback closed-loop control circuit to regulate the tension setpoint and achieve rapid correction and control of tension deviation. A simulation experiment was conducted on the AC servo motor, and the results showed that the designed control strategy can quickly and accurately adjust the tension to the target value, with an overshoot of less than 0.2%, providing theoretical ideas and practical references for high-precision constant tension control of servo motors.