The invention relates to the technical field of cable manufacturing, in particular to an intelligent tension regulation and control method and
system in a cable twisting process, and aims to solve the problems of low regulation and control precision, response
lag and weak
interference resistance in the prior art. The method comprises the following steps: firstly, introducing a multi-
wire tension coupling coefficient according to cable specifications, material
flexural rigidity and the number of stranded
layers, calibrating a tension reference value by combining real-time environment temperature and
humidity, and synchronously extracting roughness and correcting friction parameters through optical characteristics of wire surfaces so as to adapt to equipment speed; training historical data by using an LSTM (
Long Short Term Memory)
time sequence model, predicting the tension trend in the future 2-5 seconds in real time, performing classified regulation and control according to deviation statistical characteristics, and performing micro-step rotation speed regulation by a
servo motor and torque compensation execution by a
magnetic powder brake; updating the model when the error exceeds the threshold value or the specification is changed, and periodically finely adjusting the reference value by combining the
quality data. The
system comprises seven functional modules, the
tension control precision and the anti-interference capability can be improved, the adaptability is high, and the cable quality and the production efficiency are effectively improved.