On the basis of the characteristics of thermal process

deficiency of existing methods for thermal object identification

and the weakness of particle swarm optimization(PSO)algorithm(easy to be premature and can not obtain global optimal solution)

an identification method for thermal object based on chaos particle swarm optimization(CPSO)algorithm has been proposed

by adding the particle swarm premature judgment mechanism and the chaotic search sequence into the PSO algorithm.Furthermore

this method was applied to model identification for actual measured data based thermal process.The results show this method has the ability to jump out of local minimum

improve the convergence rate and precision

and achieve ideal identification effect.