Abstract
Conference Title: 2014 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Conference Start Date: 2014, Dec. 18 Conference End Date: 2014, Dec. 20 Conference Location: Coimbatore, India In this paper, Particle Filter algorithm has been employed for estimating the states namely concentration and temperature of a Continuous Stirred Tank Reactor (CSTR) and simulation results are presented. The propagation of particles through the nonlinear system model for the state estimation has been discussed. The states of the system are estimated by using the Particle Filter algorithm under the steady state as well as transient system conditions. A step change in the coolant flow rate has been introduced in order to provide a dynamic operating point.