Abstract: Take a introduced secondary cooling dynamic control system in casting slab of some factory as the research object，the system exists flaw that water volume undulates in a big way and slabs quality is not steadily because the target temperature is fixed values in advance.Target temperature fuzzy neural network controller is designed based on the Improved Particle Swarm Optimization（IPSO） algorithm.Consisting with metallurgical criteria，the target temperature is dynamic controlled based on casting grade，variable error values of tundish temperature and casting speed.The simulation result indicates that the controller error is small，the adaption scope is broad and may satisfy the production request.Proposed IPSO algorithm what is suitable for fuzzy nerve network，elaborates basic thought，improvement place and the implementation process.The result has guiding significance to the promotion and reformation of same kind introduced control system.