Iterative learning estimation of a parameterized input trajectory to control fedbatch fermentation processes: A case study

 

C. Ben Youssef and A. Zepeda

 

 

  • A novel type of iterative learning control (ILC) strategy for the optimization of fedbatch fermentation processes.

  • Application to lactic acid production as case study.

  • Improved control performances by using an ILC approach based on the parameterization of the feed flow rate profile.

  • Accurate process control with only two off-line measurements.

  • Possible application to other fedbatch fermentation processes where production is the goal.