Two degree of freedom PID based inferential control of continuous bioreactor for ethanol production

Temperature control of fermentation bioreactor for ethanol production using IMC-PID controller

“…6 show bioreactor temperature T r and jacket liquid temperature T j respectively for set-point change as well as disturbance change. In set point change the reactor temperature T r attain quickly to set point and the jacket temperature T j also attained nearly equal to the T r and similar results were obtained in [7]. But, in case of unit disturbance change i.e., by increasing the inlet flow rate F in of the substrate, the reactor temperature took about 30 h to reach set-point and the jacket temperature T j achieved a greater value than the T r it concludes that the jacket removes more heat.…”

“…Takagi-Sugeno [5] and fuzzy-PI with split range control [6] were used to control the temperature of the bioreactor of the fermentation process. Pachauri et al [7] suggested two degrees of freedom PID based inferential control for the temperature control of continuous bioreactor in a fermentation process.…”

Nonlinear Modeling and Inferential Multi-Model Predictive Control of a Pulverizing System in a Coal-Fired Power Plant Based on Moving Horizon Estimation

“…Artificial neural networks have been employed to develop soft sensors for many industrial processes to control unmeasurable variables [22][23][24][25][26]. Although such soft sensors can exhibit high fitting precision on the test data sets, they cannot explain process mechanisms, and hence can lack of robustness in the presence of process uncertainty.…”

A Graphical User Interface for dynamics and feedback control studies focus on chemical reactors

“…Controllers of PID type are by far the most widely used in the chemical process industries. Robust PID based indirect-type iterative learning control for batch processes with time-varying uncertainties was developed by Liu et al [26]; Miccio and Cosenza proposed a control of a distillation column by type-2 and type-1 fuzzy logic PID controllers [27]; Temperature control in catalytic cracking reactors via a robust PID controller was realized by Aguilar et al [28]; a PID control of reverse osmosis based desalination process was implemented by Aidhaifallah et al [29]; more recently, two degree of freedom PID based inferential control of continuous bioreactor for ethanol production was suggested by Pachauri et al [30]. In feedback control of the bioreactor, the set-point (y sp ) is represented by substrate concentration [kg/m 3 ].…”