The invention discloses a coil
winding machine control method based on a BP
nerve network. The method comprises the following steps: step one, determining an input-layer vector, an intermediate-layer vector and an output-layer vector of a three-layer
nerve network; step two, according to historical data, obtaining a training sample, and training the
nerve network; step three, according to a certain sampling period, measuring an
internal temperature T, a vibration rate U, stress F between a wire arrangement device and a coiling frame, a main shaft motor rotating speed
omega a, a wire arrangement motor rotating speed
omega b and a wire laying motor rotating speed
omega c of a coil
winding machine by use of a sensor, and normalizing the parameters to obtain the input-layer vector and the output-layer vector; step four, controlling the main shaft motor rotating speed, the wire arrangement motor rotating speed and the wire laying motor rotating speed; and step five, according to emergency shutdown signals in the intermediate-layer vector, determining an operation state of the coil
winding machine. According to the invention, the coiling line breaking frequency can be reduced, the product quality is improved, the
machine mean time between failures is increased, and the realistic significance is great.