1results about How to "Avoid control error" patented technology

This invention discloses a method for generating sickle bend control strategies based on deep reinforcement learning, comprising: collecting intermediate slab data during the hot roughing and rolling process of strip steel as sample data and performing data preprocessing; establishing and training a sickle bend amount prediction model based on the XGBoost algorithm to build an intelligent agent environment for generating the sickle bend control strategy model; establishing a sickle bend control strategy generation model based on a deep deterministic policy gradient algorithm; training the sickle bend control strategy generation model and saving the model parameters; inputting the intermediate slab data from the hot roughing and rolling process of strip steel into the trained sickle bend control strategy generation model, and outputting the intermediate slab sickle bend adjustment strategy. This invention, through automatic control, can effectively avoid control errors caused by current reliance on human experience, reduce manual intervention, and lower labor intensity. Simultaneously, controlling the straightness of the roughing slab provides a strong guarantee for the stability of finishing rolling production.