Hierarchical Control of Fermentation Process Using Microprocessors

The application of hierarchical (or multilevel) techniques to solving nonlinear optimal control problems in fermentation systems using microprocessors described. All results presented refer to batch gluconic acid fermentation, and they show why these techniques are more advantageous and attractive than the traditional single-level optimization method. In particular, the simulation results and conclusions show that hierarchical techniques result in the control computer requiring lower computational power and memory capacity.