Modeling based on bp neural network for non-sinusoidal vibration displacement control system of continuous casting mold driven by servo motor

Abstract

In order to improve the displacement control precision of continuous casting mold, the establishment of precise mathematical model of non-sinusoidal vibration displacement control system is important. The modeling method of BP neural network optimized by genetic algorithm is adopted, which can solve the problem of the mechanism modeling of various approximate treatments. Firstly the system model of BP neural network is constructed according to the measured data received from industrial field. Secondly, BP neural network model of genetic optimization is built. Then simulations are eventually performed, and then by comparing the error between the predicted displacement outputs of BP neural network optimized by genetic algorithm and the actual output displacement of the system, the simulation results show that the system error of the identified model is within 4%, and the identification method of BP neural network optimized by genetic algorithm is superior to the mechanism modeling.