scholarly journals The control system of the yeast drying process

2018 ◽  
Vol 241 ◽  
pp. 01022 ◽  
Author(s):  
Piotr Wolszczak ◽  
Waldemar Samociuk
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Temperature Control ◽  
Object Identification ◽  
Control Methods ◽  
Drying Process ◽  
Process Flow ◽  
Non Linear ◽  
Linear Object

The article presents the results of choosing how to control a real non-linear object. Yeast drying requires a precise temperature control due to the possibility of overheating. The object changes properties during of the process flow. Object identification is used and a mathematical model is developed. The model is used to select roboust control methods. The results are compared to the system of two PID regulators used in practice.

scholarly journals The identification of a device based on a Peltier element by the least squares method

2020 ◽  
pp. 17-27
Author(s):  
Vladimir Grinkevich ◽  
Keyword(s):  
Mathematical Model ◽  
Least Squares ◽  
Least Squares Method ◽  
Control Object ◽  
Object Identification ◽  
Model Parameters ◽  
Peltier Element ◽  
Transport Delay ◽  
Non Linear ◽  
The Mathematical Model

The evaluation of the mathematical model parameters of a non-linear object with a transport delay is considered in this paper. A temperature controlled stage based on a Peltier element is an identification object in the paper. Several input signal implementations are applied to the input of the identification object. The least squares method is applied for the calculation of the non-linear differential equitation parameters which describe the identification object. The least squares method is used due to its simplicity and the possibility of identification non-linear objects. The parameters values obtained in the process of identification are provided. The plots of temperature changes in the temperature control system with a controller designed based on the mathematical model of the control object obtained as a result of identification are shown. It is found that the mathematical model obtained in the process of identification may be applied to design controllers for non-linear systems, in particular for a temperature stage based on a Peltier element, and for self-tuning controllers. However, the least square method proposed in the paper cannot estimate the transport delay time. Therefore it is required to evaluate the time delay by temperature transient processes. Dynamic object identification is applied when it is required to obtain a mathematical model structure and evaluate the parameters by an input and output control object signal. Also, identification is applied for auto tuning of controllers. A mathematical model of a control object is required to design the controller which is used to provide the required accuracy and stability of control systems. Peltier elements are applied to design low-power and small- size temperature stage . Hot benches based on a Peltier element can provide the desired temperature above and below ambient temperature.

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.

The Automotive Electronic Throttle Control Based on the Non-Linear Torque Observer

2011 ◽  
Vol 467-469 ◽  
pp. 152-159 ◽  
Author(s):  
Hong Tao Zhang ◽  
Ji Du He ◽  
Jin Ping Liu
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Pid Controller ◽  
Electronic Throttle ◽  
Automotive Electronic ◽  
Control Precision ◽  
Non Linear ◽  
Working Principle ◽  
Torque Observer ◽  
Electronic Throttle Control

This paper introduces the structure and working principles of the automotive electronic throttle control system. After analyzing the non-linear factor of the system, mathematical model of the system is built up. And the working principle of non-linear torque observer is described. Then incremental PID controller and non-linear torque compensator were designed and simulated in the matlab/simulink. From the result, we can see that the control precision of incremental PID controller is poor, and it also easily has an overshoot. However, PID controller based on non-linear torque observer has a better tracking performance. It can meet control requirements very well.

Modelica-Based Simulation of Fuzzy Temperature Control System in Virtual Experiment

2012 ◽  
Vol 190-191 ◽  
pp. 288-291
Author(s):  
Jian Feng Lu ◽  
Ling Hui Xiao ◽  
Rong Su
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Key Words ◽  
Temperature Control ◽  
Fuzzy Controller ◽  
Simulation System ◽  
Temperature Control System ◽  
Virtual Experiment

A fuzzy temperature control system is modeled and simulated in Modelica language，all of the system is mainly composed of heating tank, heater, fuzzy controller, electric valve and sensor. Every component is modeled separately in OpenModelica and created its MO file which is based on the component’s mathematical model and data parameter, and will be packaged into an xml file by Flex-plugin; finally, these parts are connected to an overall simulation system. The result of simulation is showed that this model is correct, and meets the control demand of fuzzy temperature control system． Key words: Modelica; fuzzy temperature control system; Mo file

scholarly journals A Multiple Control System for a Non-Linear Object with Uncertainty

2017 ◽  
Vol 6 (55) ◽  
pp. 114 ◽  
Author(s):  
Svetlana Ivanovna Kolesnikova
Keyword(s):  
Control System ◽  
Multiple Control ◽  
Non Linear ◽  
Linear Object

Vibration control of a military vehicle weapon platform under the influence of integrated ride and cornering dynamics

2020 ◽  
pp. 146441932096399
Author(s):  
Saayan Banerjee ◽  
Varadarajan Balamurugan ◽  
R Krishna Kumar
Keyword(s):  
Mathematical Model ◽  
Vibration Control ◽  
Equations Of Motion ◽  
Backstepping Control ◽  
Dynamic Responses ◽  
Control Methods ◽  
Vehicle Dynamic ◽  
Control Techniques ◽  
Military Vehicle ◽  
Non Linear

The present study is focussed upon vibration control of the weapon elevation and azimuth dynamics mathematical model under influence of the 20 degree of freedom integrated ride and cornering dynamics non-linear mathematical model of a military vehicle with trailing arm suspension. The PID, LQR and Backstepping control techniques are applied in the weapon dynamics model in order to achieve the desired level of gun stabilisation over different manoeuvring situations. The control methods are initially implemented in the weapon elevation dynamics mathematical model which is subjected to vehicle ride response inputs only. In the later section, the control methods are incorporated in the azimuth dynamics mathematical model which is subjected to the integrated ride and cornering dynamic response inputs from different manoeuvres. The control forces are incorporated in the governing equations of motion for the weapon elevation and azimuth dynamics. The equations of motion for the weapon elevation and azimuth dynamics with incorporated control parameters, are transformed into state space matrix domain and solved by using Matlab. The elevation and azimuth dynamic responses are observed over the random terrain and with variable track velocities, respectively and compared with the corresponding passive models. It is observed that adequate attenuation of the vehicle dynamic inputs could be attained with the control techniques which led to desired weapon stabilisation in both elevation and azimuth directions. Compared to other controllers, backstepping control strategy is observed to provide the maximum attenuation in weapon responses by directly considering the Lyapunov stability criterion in its formulation. Therefore, the basic focus is to evaluate the gun muzzle response reduction by implementing different control techniques under the influence of a non-linear vehicle dynamic platform. These studies would provide the motivation and foundation behind design and development of gun control system for the military vehicles with All Electric Drive.

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