Abstract: The dynamic modelling, optimization and control on an industrial styrene suspension polymerization reactor were studied. On the basis of free radical kinetics, a mathematical model of the polymerization process for the industrial plant was presented. By employing nonlinear parameter algorithm and experimental data of pilot reactor, model parameters were estimated. It was found that the model could more accurately predict the industrial reaction process. The optimal initial concentration of initiator and temperature trajectory were determined such that the desired higher yield and polymerization degree could be obtained in a shortest time. The calculated results were verified by part of experimental data. Finally, two quality optimizing control policies were proposed.