Dynamic target temperature fuzzy neural network controller and dynamic temperature neural network controller were designed for a introduced secondary cooling dynamic control system in casting slab from a factory based on the neural network

fuzzy control method combining with PSO algorithm.Based on above results

a secondary cooling water dynamic online learning fuzzy neural network control system（LFNC）has been developed which can dynamically control target temperature and secondary cooling water according to variation of steel types

pulling velocity and super-heating degree under the condition of meeting metallurgical criteria to obtain the low temperature gradient at the front stage of secondary cooling and to fluctuate in range of 6 ℃ at straightening stage

improving the quality of the slab and reducing the secondary cooling water.The intelligent control system has the advantages of small calculation and good stability.