Solving the Problem of Building an Automatic Control System for the Process of Water Chemical Treatment Using Fuzzy Logic

2022 ◽  
pp. 748-756
Author(s):  
K. A. Mammadova ◽  
E. N. Aliyeva
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Chemical Treatment

THE WAYS TO IMPROVE THE SUBSIDIARY ELECTRIC DRIVE OF HIGH-SPEED ELECTRIC STOCK

2018 ◽  
pp. 121-131
Author(s):  
Elena Makarova ◽  
Stanislav Telichenko ◽  
Ildar Shakirov ◽  
Alexander Trifanov ◽  
Alexander Ivanov ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Computer Model ◽  
Electric Drive ◽  
High Speed ◽  
Practical Importance ◽  
Automatic Control Systems ◽  
Research Findings

Objective: To improve the subsidiary electric drive of high-speed electric stock by applying asynchronous drive frequency regulator. Methods: Fuzzy logic concepts were applied for an automatic control system regulator. Results: A computer model of the regulator was developed and the results of modeling were presented in the form of optimization process of load moment stepped variation by the control system with standard and fuzzy logic controllers. Practical importance: On the basis of the introduced computer model, transient analysis is possible in automatic control system of the subsidiary electric drive of the high-speed electric stock. The research findings may be used in the design of new and retrofit of the existing automatic control systems of the subsidiary electric drive with improved characteristics of control performance.

scholarly journals Automatic removal of the plane from a spin using fuzzy logic controller

2019 ◽  
Vol 2019 (2) ◽  
pp. 45-53
Author(s):  
Jacek Prusik ◽  
Tomasz Rogalski
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Angular Velocity ◽  
Automatic Control ◽  
Automatic Control System ◽  
Fuzzy Logic Controller ◽  
Flight Simulator ◽  
Control Algorithms ◽  
Flight Parameters ◽  
Automatic Removal

The paper presents a concept of automatic control system recovering an aircraft from the spin using fuzzy logic controller. Control system causing: stall, spin, spin recovery, dive recovery and switching on classic heading and altitude autopilots, was created in Matlab – Simulink software, which was connected to the flight simulator X-Plane. During tests developed control algorithms were checked and tuned. At the end graphs of flight parameters recorded during simulation were analyzed, and properties of designed control system were evaluated. Particular attention was paid to the design of a fuzzy logic controller stopping autorotation of the aircraft. On the output it controlled the position of the rudder, while on input it received a signal being a function of the angular velocity of the aircraft.

scholarly journals Modeling of automatic control system for air supply to a bio-reactor using fuzzy control

2021 ◽  
Vol 2131 (2) ◽  
pp. 022009
Author(s):  
V F Lubentsov ◽  
E A Shakhrai ◽  
E V Lubentsova
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Steady State ◽  
Fuzzy Control ◽  
Automatic Control ◽  
Automatic Control System ◽  
Fuzzy Controller ◽  
Nonlinear Controller ◽  
Steady State Mode ◽  
Air Supply

Abstract The stages of modeling the automatic control system (ACS) for air supply to aeration with the use of fuzzy control are considered. The investigated control algorithm is based on the combination of a nonlinear controller with approximating control (CAC), whose parameters are corrected using fuzzy logic. The algorithm for correcting the CAC parameters for transient and steady state modes is based on the application of two simple rulebases (RB) with three and five linguistic terms, respectively. As a result, the required speed in the transient mode and accuracy in the steady state mode are provided. It is proved that switching the RB according to the logic of the multi-mode system is less demanding on the number of rules, structure and setting parameters of the membership function than using the extended RB. The differences between the proposed ACS with different BP for the main operating modes of the system are shown. These include: improvement of quality indicators due to the implementation of different BP in different modes; more rigorous justification of the mechanism for ensuring insensitivity to the switching moments of BP when changing modes due to the CAC of the direct circuit of the ACS. Effective implementation of the stages of ACS modeling and fuzzy controller design is possible using the Fuzzy Logic Toolbox system of the Simulink MATLAB modeling environment.

Hybrid Automatic Control System of the Cascade of Centrifugal Extractors

2015 ◽  
Vol 1084 ◽  
pp. 661-665
Author(s):  
Ekaterina P. Zelenetskaya ◽  
Alexey G. Goryunov
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Human Factor ◽  
Current System ◽  
Neuro Fuzzy ◽  
Advanced Control ◽  
On Line ◽  
Negative Impacts

The paper provides a control system of the cascade of centrifugal extractors. This system is based on a conventional PID controller with elements of neuro-fuzzy logic for on-line tuning system. Neural networks used with fuzzy logic in an automatic control system allowed minimizing the negative impacts of human factor on the purification processes of uranium concentrates. The current system ensures the advanced control of a cascade and stabilization of the uranium concentration at the permissible industrial levels.

Use of Fuzzy Logic to Control Air Intake for Increase in Boiler Efficiency

2014 ◽  
Vol 564 ◽  
pp. 275-280 ◽  
Author(s):  
Wasakron Treedet ◽  
Ratchaphon Suntivarakorn
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Automatic Control ◽  
Combustion Chamber ◽  
Automatic Control System ◽  
Flue Gas ◽  
Screw Conveyor ◽  
Logic Control ◽  
Boiler Efficiency ◽  
Air Intake

This paper presents a study and investigation of an improvement of boiler efficiency with an automatic control of air quantity into a combustion chamber. A fire tube boiler with a fixed gate and screw conveyor for feeding fuel was used to test the automatic control system, and a sub-bituminous was used as a fuel for this study. The increase in boiler efficiency was based on controlling amount of air quantity for fuel combustion before entering to the combustion chamber using fuzzy logic control algorithm. Automatic combustion control was achieved by measuring the amount of Oxygen gas (O2) from flue gas stack. From the experimental results, it was indicated that the automatic control system can control the average amount of O2 in flue gas at 11.09% when the O2 in the flue gas was set at 10%. The boiler efficiency was increased by 4.34%, and the energy consumption was reduced to have a fuel saving of 195.88 ton/year.

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