To evaluate the force measurement accuracy of the integrated vehicle in the impulse combination wind tunnel

some actions were taken. Firstly

the force-measurement system was simplified and the dynamic equation was built according to its structural characteristics. Then

the impulse response attenuation function was deducted. Secondly

the time-dependent changing rule of the output signal of the force-measurement system was analyzed and the dominant frequency of was acquired through fast Fourier transformation (FFT) method. Next

the neural network algorithm and gradient descent algorithm were used to fit the signal of force balance and to predict the trend value of the force-measurement signal. Finally

the signal fitting and trend prediction of a number of tests data were conducted and the measurement accuracies were acquired. The result prove that this method can truly predict the stable output result

meanwhile

the measurement accuracy can reach over 97% when the output signal of force-measurement system includes 4 cycles.