GA-tuned 2DOFPID-based biomass concentration control of bioreactor

Abstract

The present work is focused on efficient control of biomass concentration in continuous bioreactor. A two degree of freedom PID (2DOFPID) controller is therefore designed for the purpose. The controller parameters are optimized with the help of genetic algorithm (GA). The proposed controller may provide good control performance as it utilizes the advantages of GA and 2DOFPID. The optimization is also carried out using pattern search (PS) and simulated annealing (SA) for comparative analysis. The performance of designed controllers is analyzed for set point tracking, and disturbance rejection. Results reveal that GA-2DOFPID outperforms the other implemented controllers.