连铸二冷水的智能建模与控制

摘要

基于传统板坯连铸二冷水控制方法，提出用神经元自适应PSD控制器实现对板坯连铸二冷水智能控制，采用遗传算法和BP神经网络相结合的算法（GA-BP）、利用现场数据建立二冷水温度预报模型，并对该控制系统进行了计算机仿真，结果表明系统较好地实现了板坯表面的温度控制，且具有良好的自适应和自学习能力。%Based on the conventional slab continuous casting secondary cooling water control method, in this thesis slab continuous casting secondary cooling water control syetem is applied by the single neuron self-adaptive PSD control er. the secondary cooling temperature prediction model is established by the algorithm which combined Genetic Algorithm with improved BP network and the spot data. The control syetem is simulated by computer, The simulation indicates that the system could improve the temperature control precision of the surface of slabs and have the properties of self-learning and self-adaptive.