scholarly journals Simple Gain-Scheduled Control System for Dissolved Oxygen Control in Bioreactors

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1493
Author(s):  
Mantas Butkus ◽  
Donatas Levišauskas ◽  
Vytautas Galvanauskas

An adaptive control system for the set-point control and disturbance rejection of biotechnological-process parameters is presented. The gain scheduling of PID (PI) controller parameters is based on only controller input/output signals and does not require additional measurement of process variables for controller-parameter adaptation. Realization of the proposed system does not depend on the instrumentation-level of the bioreactor and is, therefore, attractive for practical application. A simple gain-scheduling algorithm is developed, using tendency models of the controlled process. Dissolved oxygen concentration was controlled using the developed control system. The biotechnological process was simulated in fed-batch operating mode, under extreme operating conditions (the oxygen uptake-rate’s rapidly and widely varying, feeding and aeration rate disturbances). In the simulation experiments, the gain-scheduled controller demonstrated robust behavior and outperformed the compared conventional PI controller with fixed parameters.

2013 ◽  
Vol 433-435 ◽  
pp. 1136-1140 ◽  
Author(s):  
Hou Zhao Dai ◽  
Ming Jian Huang ◽  
Cong Li ◽  
Ya Ning Zhang

Based on these characteristics of dissolved oxygen control in sewage treatment aeration process, such as nonlinearity, large time delay in a timely manner and difficult to model accurately, this paper puts forward an intelligent control strategy of dissolved oxygen. First, make intelligent dynamic dissolved oxygen value setting according to water quality parameters as the feed forward control, and then Fuzzy PID control and conventional PID control fan control systems compose a cascade control system to ensure the stability of dissolved oxygen value in given value. I used the simulation and experimental analysis. The results show that under the condition of ensuring water quality, the control strategy can reduce aeration energy consumption and guarantee the stability of system.


Author(s):  
S.I. Erke ◽  
◽  
M.Yu. Kostina ◽  
M.Yu. Bondar ◽  
M.Yu. Shuster ◽  
...  

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