Application of Fuzzy Control in Sewage Treatment System

2013 ◽  
Vol 765-767 ◽  
pp. 1818-1821
Author(s):  
Rui Zhang ◽  
Le Peng Song
Keyword(s):  
Mathematical Model ◽  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Sewage Treatment ◽  
Control Object ◽  
Good Control ◽  
Treatment System ◽  
Control Effect ◽  
Sewage Treatment System

Fuzzy control does not need to master the precise mathematical model of control object, but to determine the amount of the control object according to the control rules. This control method has a good control effect for the system with lag or random interference. It is a new attempt to treat the sewage with a PLC fuzzy controller. The control system is more reliable and it could achieve a good control effect. According to the features of the complexity of modern sewage treatment system and the difficulty of establishing accurate mathematical model, a fuzzy control method applied to the system with PLC is established and realized. The results showed that based on this method, the system is easy to realize and anti-interference ability is strong, a good adjustment quality is obtained.

Cost Analysis and Fuzzy Control for Collapsible Container Usage Based on Closed-Loop Supply Chain Model

2017 ◽  
Vol 139 (8) ◽  
Author(s):  
Xinyan Ou ◽  
Jorge Arinez ◽  
Qing Chang ◽  
Guoxian Xiao
Keyword(s):  
Mathematical Model ◽  
Fuzzy Control ◽  
Closed Loop ◽  
Control Method ◽  
Fuzzy Controller ◽  
Accurate Estimation ◽  
Chain Model ◽  
Market Demand ◽  
Total Cost ◽  
Logistic Cost

In the last decade, global competition has forced manufacturers to optimize logistics. The implementation of collapsible containers provides a new perspective for logistics cost savings, since using collapsible containers reduces the frequency of shipping freight. However, optimization of logistic cost is complicated due to the interactions in a system, such as market demand, inventory, production throughput, and uncertainty. Therefore, a systematic model and accurate estimation of the total cost and system performance are of great importance for decision making. In this paper, a mathematical model is developed to describe deterministic and stochastic scenarios for a closed-loop container dynamic flow system. The uncertainties in a factory and a supplier are considered in the model. The performance evaluation of the collapsible container system and total cost estimation are provided through model analysis. Furthermore, fuzzy control method is proposed to monitor the processing rate of the supplier and the factory and to adjust the rate of the supplier operation then further reduce the logistic cost. A case study with a matlab simulation is presented to illustrate the accuracy of the mathematical model and the effectiveness of the fuzzy controller.

Using DCS to Realize Ball Mill Fuzzy Control System

2014 ◽  
Vol 568-570 ◽  
pp. 1131-1134
Author(s):  
Yan Jun Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Ball Mill ◽  
Control Method ◽  
Good Control ◽  
Pi Controller ◽  
Decoupling Control ◽  
Control Effect ◽  
Hot Air ◽  
Look Up Table

By way of summarizes operation experience, using fuzzy control method to realize the decoupling control of coal mill cold air damper, hot air damper and coal feeder, by using cascade control of fuzzy control look up table and PI controller in DCS, it’s convenient to realized the automatic control of ball mill. Practice proves that this method is easy to achieve and good control effect could be achieved.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

Fuzzy Control Based on Genetic Algorithm to Optimize the Mill Load

2013 ◽  
Vol 385-386 ◽  
pp. 827-830
Author(s):  
Yan Jiao Li ◽  
Jian Min Wang ◽  
Jie Zhang
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Production Efficiency ◽  
Control Method ◽  
Good Control ◽  
Stable Operation ◽  
Control Effect ◽  
Efficient Operation ◽  
Load Optimization ◽  
Grinding System

Mill load is closely related to production efficiency and energy consumption, the purpose of mill load control is guaranteed to increase the production efficiency under the condition of safe and stable operation of the mill grinding. For ball grinding system has some characteristics of nonlinear, large time delay and time-varying, the conventional control method is hard to achieve good control effect, this paper proposes a optimization method of fuzzy control of mill load based on genetic algorithm. The control rules and membership functions has a great deal of subjectivity and arbitrariness. In order to make up this deficiency, using genetic algorithm better solve the mill load optimization. Make grinding system can safe, stable and efficient operation.

scholarly journals Application of Fuzzy Control in Ocean Nuclear Power Plant Control

2021 ◽  
Vol 2076 (1) ◽  
pp. 012010
Author(s):  
Chunhui Dai ◽  
Ping Song ◽  
Lie Chen ◽  
Xingsheng Lao ◽  
Kelong Zhang
Keyword(s):  
Mathematical Model ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Fuzzy Control ◽  
Water Level ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Fuzzy Controller ◽  
Good Control

Abstract In marine nuclear power plants based on molten salt reactors, the complexity of core nuclear reactions, fuel fluidity, and the “false” water level characteristics of the steam generator water level make it unrealistic to establish an accurate mathematical model, so it is difficult to implement traditional PID control methods. This has increased substantially. The fuzzy control has a good solution to this feature. Therefore, combined with the fuzzy control that does not depend on the precise mathematical model of the controlled object, the fuzzy controller of the nuclear power plant is designed, and the control research of the core power is obtained respectively through MATLAB/Simulink simulation. It shows that the designed fuzzy controller can achieve good control of nuclear power plants.

A Fuzzy Control Method Combined with Optimal Feed-Forward for Dry Desulfurization of Slurry Fluidized Bed Boiler

2012 ◽  
Vol 610-613 ◽  
pp. 1676-1681
Author(s):  
Ai Peng Jiang ◽  
Qiang Ding ◽  
Jian Wang ◽  
Weiwei Lin ◽  
Zhou Shu Jiang
Keyword(s):  
Fuzzy Control ◽  
Fluidized Bed ◽  
Control Method ◽  
Fuzzy Controller ◽  
Coal Slurry ◽  
Control Technology ◽  
Control Effect ◽  
Feed Forward ◽  
Optimal Feed ◽  
The Impact

It is the most effective resource use practices for coal slurry to be used as fuel for fluidized bed boiler. The dry desulfurization of slurry fluidized bed boiler is a large time delay system, and the load disturbance of this system changes frequently. In order to achieve stable control of SO2 emission and meet environmental requirements, a fuzzy control technology combined with the optimal feed-forward was designed. Combined with field experience, a fuzzy controller system was designed by fuzzy control technology, and then the integral process was added to achieve non-error track. To reduce the impact of desulfurizer and other factors, based on the principle of feed-forward, an objective to minimize disturbance impact was obtained, and then a nonlinear programming problem for solving the optimal feed-forward parameters was established, from which the best feed-forward form can be obtained. Results of 440T/H fluidized bed boiler show that the proposed method has satisfactory control effect. SO2 concentration can fully meet environmental emission requirements, and its fluctuation is relatively small.

The Design and Simulation of Voltage and Reactive Power Fuzzy Controller in Substation

2012 ◽  
Vol 591-593 ◽  
pp. 1441-1445
Author(s):  
Huan Huan Fang ◽  
Xin Mei Shu ◽  
Jun Wang ◽  
Ming Qin Wang
Keyword(s):  
Reactive Power ◽  
Control Method ◽  
Fuzzy Controller ◽  
Integrated Control ◽  
Dynamic Performance ◽  
Good Control ◽  
Control Effect ◽  
Model Base ◽  
Existing Problems ◽  
Qualification Rate

This paper analyzes the existing problems of the present substation of substation voltage and reactive power integrated control. A design for substation’s voltage and reactive power integrated control based on fuzzy 17-area control method is proposed. We build a substation simulation model base on voltage and reactive power fuzzy integrated controller. In this way, we analyze and simulate this control system dynamic performance. The simulation results show that this kind of control idea is feasible and it can effectively improve the voltage qualification rate, reduce frequency of the adjusted taps of transformer and switch action of the capacitor. It has a good control effect.

scholarly journals Simulation on Stern-Rudder Independent Control for Submarine Motion in a Vertical Plane

2015 ◽  
Vol 15 (6) ◽  
pp. 178-190
Author(s):  
Xiong Ying ◽  
Hu Jun Jie
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Vertical Plane ◽  
Good Control ◽  
Low Noise ◽  
Independent Control ◽  
Radiated Noise ◽  
Control Precision ◽  
Simulation Results

Abstract To independently control the depth and trim of the submarine, a fuzzy control method on stern-rudder is proposed, and the advantage of a single stern-rudder in low noise control is elaborated. Taking into account the character of the single stern-rudder, a fuzzy controller is designed. The simulation results have shown that the algorithm has very good control precision, which decreases the rudder and radiated noise greatly.

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