Abstract:

The estimation of kinetic parameters is an important topic for chemical process model application.Different optimization algorithms are used to estimate parameters for the eight lumps model of FCC（fluid catalytic cracking）process.It is shown that the particle swarm optimization（PSO）algorithm is simple and can be easily implemented.The PSO algorithm also exhibits a good global optimization performance that avoids the dependence on initial parameters.Furthermore a hybrid particle swarm optimization（HPSO）algorithm combined with Levenberg-Marquardt algorithm is proposed to improve the effect of parameter estimation.By use of real industrial data，the simulation results show that model prediction accuracy is ensured by HPSO method.