In Biochemical Engineering, the downstream stage to recover and purify product obtained from fermentation plays a central role in the commercial success of the process. Previously, the continuous adsorption recycle extraction (CARE) process was optimized using experimental design and surface response analysis. Such an approach did not require the use of reduced models. Thus, through a derailed model of the system and extensive simulation, operational restrictions, the whole set of process variables and design details in the analysis were accounted for. Through this procedure, a new optimal set-point was applied to the control algorithm developed to give higher system performance. The appropriate manipulated variable was determined from the dynamic responses and control strategies could be defined. The classical proportional integral (PI) and proportional integral derivative (PID) feedback and non-conventional feedback-feedforward controllers were studied. The results show that the performance was good even with time delays up to 24 and 36 min, respectively.