Aiming at the problem that sensor measurement value is disturbed by the nonlinear error in wind tunnel test, a nonlinear error correction method about wind tunnel sensor measurement value is proposed based on BP neural network. Based on BP neural network nonlinear mapping ability, uses the neural network model fuse sensor adjust data to calculate sensor measurement error, then adjust the sensor value according to network calculation error. The test results reveal that this method can effectively reduce the influence of nonlinear error of sensor measurement value and improve the measuring accuracy of the sensor.