Optimization of a Continuous Stirred-Tank Chemical Reactor System Using Particle Swarm Optimization Algorithm

Continuous Stirred-Tank chemical Reactor (CSTCR) System is a chemical reactor system with a complex nonlinear dynamic characteristic. Optimization of CSTCR system by using classic optimal control theory lead to solve nonlinear Hamilton-Jacobi-Bellman(HJB) equations. However, the nonlinear HJB equations are very difficult to solved .So it is necessary to employ numerical methods to solve nonlinear optimal control (NOC) problems. In this paper particle swarm optimization algorithm and improved particle swarm optimization algorithm were employed to solve a continuous stirred-tank chemical reactor problem, numerically. The PSO is a powerful evolutionary computing technique used to optimize various continuous and discreet value problems. Result show that the improved particle swarm optimization(IPSO) algorithms are much more efficient and generate higher quality solution than PSO algorithm.