scholarly journals Control of Milk Fermentation in Batch Bioreactor

2020 ◽  
Vol 26 (1) ◽  
pp. 4-9 ◽  
Author(s):  
Jozef Ritonja ◽  
Andreja Gorsek ◽  
Darja Pecar
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Input Output ◽  
Chemical Substances ◽  
Heating And Cooling ◽  
Batch Bioreactor ◽  
Milk Fermentation ◽  
Main Disadvantage ◽  
Batch Bioreactors ◽  
And Control

In this paper, modelling and control of a batch bioreactor is studied. A main disadvantage of batch bioreactors compared to other types of bioreactors is their inability to introduce biological or/and chemical substances during operation. Therefore, possibility of bioreactor’s control by means of changing temperature was proposed, analyzed, and implemented. A new supplementary input/output dynamical mathematical model, which considers influence of heating and cooling on a bioprocess, was developed. On a basis of this model, a control system was designed and a method for tuning of the controller was suggested. Results show characteristics, applicability, and advantages of the presented approach.

scholarly journals Dynamic Modeling of the Impact of Temperature Changes on CO2 Production during Milk Fermentation in Batch Bioreactors

Foods ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1809
Author(s):  
Jožef Ritonja ◽  
Andreja Goršek ◽  
Darja Pečar ◽  
Tatjana Petek ◽  
Boštjan Polajžer
Keyword(s):  
Mathematical Model ◽  
Fermentation Process ◽  
Model Parameters ◽  
Temperature Changes ◽  
Simulation And Optimization ◽  
Design And Synthesis ◽  
Batch Bioreactor ◽  
Milk Fermentation ◽  
Batch Bioreactors ◽  
The Impact

Knowledge of the mathematical models of the fermentation processes is indispensable for their simulation and optimization and for the design and synthesis of the applicable control systems. The paper focuses on determining a dynamic mathematical model of the milk fermentation process taking place in a batch bioreactor. Models in the literature describe milk fermentation in batch bioreactors as an autonomous system. They do not enable the analysis of the effect of temperature changes on the metabolism during fermentation. In the presented extensive multidisciplinary study, we have developed a new mathematical model that considers the impact of temperature changes on the dynamics of the CO2 produced during fermentation in the batch bioreactor. Based on laboratory tests and theoretical analysis, the appropriate structure of the temperature-considered dynamic model was first determined. Next, the model parameters of the fermentation process in the laboratory bioreactor were identified by means of particle swarm optimization. Finally, the experiments with the laboratory batch bioreactor were compared with the simulations to verify the derived mathematical model. The developed model proved to be very suitable for simulations, and, above all, it enables the design and synthesis of a control system for batch bioreactors.

Mathematical Model and Control System for a Linear DC Motor

2021 ◽  
Author(s):  
Ivan Yu. Spitsyn ◽  
Aleksandr M. Sinitca ◽  
Vjacheslav V. Gulvanskii ◽  
Dmitrij A. Perevertailo ◽  
Aleksej V. Volkov
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Dc Motor ◽  
Linear Dc Motor ◽  
And Control

Effect and Simulation on Control System of Boiler Parameters

2013 ◽  
Vol 411-414 ◽  
pp. 1711-1715
Author(s):  
Bing Hua Jiang ◽  
Li Fang ◽  
Hang Biao Guo
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Temperature Control ◽  
Pid Controller ◽  
Static Stability ◽  
Temperature Control System ◽  
Integrated Process ◽  
And Control

In this paper, taking integrated process and control platform as the background , did the research on mathematical model of boiler liner and parameters on the performance of the control system. First, created a mathematical model of the temperature of the boiler liner. Second, selected the PID controller to control the temperature control system in the case of the PID controller parameters remained unchanged. Finally, changed the boiler parameters, analyzed and compared the simulation waveforms of different boiler parameters in order to get the conclusion that different parameters had different influence on the static stability of the temperature control system and the temperature control system had anti-jamming capability.

Conception of Research on Bionic Underwater Vehicle with Undulating Propulsion

2011 ◽  
Vol 180 ◽  
pp. 160-167 ◽  
Author(s):  
Piotr Szymak ◽  
Marcin Morawski ◽  
Marcin Malec
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Mathematical Description ◽  
Underwater Vehicle ◽  
Underwater Vehicles ◽  
Robotic Fish ◽  
Fish Movement ◽  
Vehicle Motion ◽  
Scientists And Engineers ◽  
And Control

Fish-like swimming has been attracting scientists and engineers attention since many years resulting in attempts of mathematical description of fish movement and its implementation in many interesting prototypes of underwater vehicles. In this paper, conception of research on simulation, implementation and control of bionic underwater vehicle BUV with undulating propulsion is presented. In the next sections, introduction and mathematical model of bionic underwater vehicle motion are included. Then, the last implementation of the robotic fish called CyberFish, which movement is based on the presented mathematic description is presented and shortly described. In the last sections, conception of research on control system of BUV and conclusions are presented.

A Control System on Soil Temperature

2014 ◽  
Vol 599-601 ◽  
pp. 673-679
Author(s):  
Shi Guo Chen ◽  
Li Hua Hu ◽  
Dong Sheng Wu ◽  
Xue Yong Chen
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Soil Temperature ◽  
Control Algorithm ◽  
Soil Ecology ◽  
Control Soil ◽  
Pid Algorithm ◽  
And Control ◽  
The Mathematical Model

The soil’s temperature plays an important role of soil ecology research. In order to gain and control soil’ temperature. A control system is proposed for soil’s temperature. And a new control algorithm which is based on the PID algorithm is designed in the control system to handle the complex change of the soil’s temperature. It does not need to know the mathematical model of soil’s temperature. At last, the control result is analyzed in this paper. The result shows that the soil’s temperature is controlled ideal by this control system which is accurate to 0.5°C.

scholarly journals Adaptive Control of CO2 Production during Milk Fermentation in a Batch Bioreactor

Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1712
Author(s):  
Jožef Ritonja
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Adaptive Control System ◽  
Loop Control ◽  
Batch Bioreactor ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
Batch Bioreactors

The basic characteristic of batch bioreactors is their inability to inflow or outflow the substances during the fermentation process. This follows in the simple construction and maintenance, which is the significant advantage of batch bioreactors. Unfortunately, this characteristic also results in the inability of the current industrial and laboratory batch bioreactors to control fermentation production during the process duration. In some recent studies, it was shown that changing the temperature could influence the execution of the fermentation process. The presented paper shows that this phenomenon could be used to develop the closed-loop control system for the fermentation production control in batch bioreactors. First, based on theoretical work, experiments, and numerical methods, the appropriate structure of the mathematical model was determined and parameters were identified. Next, the closed-loop control system structure for batch bioreactor was proposed, and the linear and adaptive control system based on this structure and the derived and identified model were developed. Both modeling and adaptive control system design are new and represent original contributions. As expected, due to the non-linearity of the controlled plant, the adaptive control represents a more successful approach. The simulation and experimental results were used to confirm the applicability of the proposed solution.

scholarly journals Development of a Low-Level Control System for the ROV Visor3

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Santiago Rúa ◽  
Rafael E. Vásquez
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Nonlinear Observer ◽  
Navigation Systems ◽  
Level Control ◽  
Remotely Operated Vehicle ◽  
Low Level ◽  
Level Control System ◽  
High Level ◽  
And Control

This paper addresses the development of the simulation of the low-level control system for the underwater remotely operated vehicle Visor3. The 6-DOF mathematical model of Visor3 is presented using two coordinated systems: Earth-fixed and body-fixed frames. The navigation, guidance, and control (NGC) structure is divided into three layers: the high level or the mission planner; the mid-level or the path planner; and the low level formed by the navigation and control systems. The nonlinear model-based observer is developed using the extended Kalman filter (EKF) which uses the linearization of the model to estimate the current state. The behavior of the observer is verified through simulations using Simulink®. An experiment was conducted with a trajectory that describes changes in the x and y and yaw components. To accomplish this task, two algorithms are compared: a multiloop PID and PID with gravity compensation. These controllers and the nonlinear observer are tested using the 6-DOF mathematical model of Visor3. The control and navigation systems are a fundamental part of the low-level control system that will allow Visor3’s operators to take advantage of more advanced vehicle’s capabilities during inspection tasks of port facilities, hydroelectric dams, and oceanographic research.

Verification of Control System by Physical Simulation

2014 ◽  
Vol 472 ◽  
pp. 389-393
Author(s):  
Wei Guo Yuan ◽  
Ya Bin Wang
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Heat Exchanger ◽  
Physical Simulation ◽  
Control System Design ◽  
Control Module ◽  
Heat Exchanger Design ◽  
Simulation And Control ◽  
And Control ◽  
The Mathematical Model

Control system is generally verified by experiment, some of which are too difficult or high-cost to implement, while physical simulation can be substituted for experiment to verify the effectiveness of control system. The study take the heat exchanger as an example to describe the process of verification by physical simulation: Choose FLOEFD and SIMULINK as the software of physical simulation and control system design, establish the mathematical model of heat exchanger, design control module, whose output is set as an input of FLOEFD, compare the result of physical simulation and SIMULINK, if they are similar, the control module is effective.

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