The Design and Implementation of Fuzzy Neural Network Control Algorithms in Urban Sewage Treatment Control System

2011 ◽  
Vol 230-232 ◽  
pp. 1133-1140
Author(s):  
Zhao Hui Shi
Keyword(s):  
Water Quality ◽  
Control System ◽  
Fuzzy Control ◽  
Automatic Control ◽  
Treatment Process ◽  
Control Method ◽  
Sewage Treatment ◽  
Network Control ◽  
Object Oriented Programming ◽  
Control Software

In this paper,the artificial intelligence control technology is used in sewage treatment plants, we use fuzzy control method in the sewage treatment process, we use the dynamic fuzzy control in the water quality of the sewage treatment process parameters , on this basis, we completed the automatic control system software design, the upper control software we use the WinCC configuration ,the next bit control softwarewe use the STEP7 5.1. We use the object-oriented programming idea to improve the efficiency of automatic control software. We developed the application communication protocol between the upper and lower computer layer, the next crew and the host computer can run independently when they are not connected,when the communication connects again, you can pass the parameters of the system from each other to avoid the loss of valid data. The central control system monitors the plant process and equipment operation all the time, the remote control substitutes for the original analog console, it is important simulation parameters to trend display, allowing the operator to better control water quality.

Control of coagulation process by dual wavelength article analyzer

1997 ◽  
Vol 36 (4) ◽  
pp. 135-142 ◽  
Author(s):  
Norihito Tambo ◽  
Yoshihiko Matsui ◽  
Ken-ichi Kurotani ◽  
Masakazu Kubota ◽  
Hirohide Akiyama ◽  
...  
Keyword(s):  
Water Quality ◽  
Control System ◽  
Predictive Control ◽  
Control Method ◽  
Feedforward Control ◽  
Raw Water ◽  
Floc Size ◽  
Coagulation Process ◽  
Series Of Experiments ◽  
Size Data

A coagulation process for water purification plants mainly uses feedforward control based on raw water quality and empirical data and requires operator's help. We developed a new floc sensor for measuring floc size in a flush mixer to be used for floc control. A control system using model predictive control was developed on the floc size data. A series of experiments was performed to confirm controllability of settled water quality by controlling flush mixer floc size. An automatic control with feedback from the coagulation process was evaluated as practical and reliable. Finally this new control method was applied for actual plant and evaluated as practical.

scholarly journals Adaptive Neural Network Control of Zero-Speed Vessel Fin Stabilizer Based on Command Filter

2022 ◽  
Vol 12 (2) ◽  
pp. 754
Author(s):  
Ziteng Sun ◽  
Chao Chen ◽  
Guibing Zhu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Control Method ◽  
Large Angle ◽  
Network Control ◽  
Neural Network Control ◽  
Adaptive Neural Network ◽  
Adaptive Neural Network Control ◽  
Command Filter ◽  
Fin Stabilizer

This paper proposes a zero-speed vessel fin stabilizer adaptive neural network control strategy based on a command filter for the problem of large-angle rolling motion caused by adverse sea conditions when a vessel is at low speed down to zero. In order to avoid the adverse effects of the high-frequency part of the marine environment on the vessel rolling control system, a command filter is introduced in the design of the controller and a command filter backstepping control method is designed. An auxiliary dynamic system (ADS) is constructed to correct the feedback error caused by input saturation. Considering that the system has unknown internal parameters and unmodeled dynamics, and is affected by unknown disturbances from the outside, the neural network technology and nonlinear disturbance observer are fused in the proposed design, which not only combines the advantages of the two but also overcomes the limitations of the single technique itself. Through Lyapunov theoretical analysis, the stability of the control system is proved. Finally, the simulation results also verify the effectiveness of the control method.

The Fuzzy Control Method in Semi-Active Suspension

2010 ◽  
Vol 159 ◽  
pp. 644-649
Author(s):  
Jing Hua Zhao ◽  
Wen Bo Zhang ◽  
He Hao
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Reference Model ◽  
Active Suspension ◽  
Vibration Characteristic ◽  
Acceleration Signal ◽  
Logic Control

Based on the analysis of performance of vehicle and its suspension, half vehicle model of five DOF and road model were built and the dynamic equations of half vehicle were derived according to the parameters of a commercial vehicle. In addition, a novel fuzzy logic control system based on semi-active suspension was introduced to achieve the optimal vibration characteristic, with changing the adjustable dampers according to dynamic vertical body acceleration signal. The fuzzy control was designed based on non-reference model method that acceleration value was sent to the fuzzy controller directly. And then, simulation analysis of semi-active suspension with fuzzy control method were implemented on the B-class road surface. The results showed that the semi-active suspension control system introduced in this paper has better performance on vieicle vibration characteristic, compared to passive suspension.

Greenhouse Monitoring and Control System Based on Zigbee

2013 ◽  
Vol 347-350 ◽  
pp. 768-771 ◽  
Author(s):  
Jian Jun Zhou ◽  
Xiao Fang Wang ◽  
Xiu Wang ◽  
Wei Zou ◽  
Ji Chen Cai
Keyword(s):  
Control System ◽  
Remote Monitoring ◽  
Control Method ◽  
Control Mode ◽  
Monitoring And Control ◽  
Control Software ◽  
Monitoring And Control System ◽  
Centralized Management ◽  
Remote Monitoring And Control ◽  
And Control

A greenhouse monitoring and control system based on Zigbee networks was developed. This system consists of greenhouse data acquisition controller and greenhouse remote monitoring and control software. The system could monitor temperature and humidity, soil water content and concentration of carbon dioxide in greenhouse and could save these greenhouse data to database. Greenhouse acquisition controller had two kinds of control modes, including local manual control mode and remote wireless control mode in monitoring center. Greenhouse remote monitoring and control software can collect, display and record the collected data, also can control greenhouse environment. According to the current indoor temperature, the target temperature and the offset temperature, PID control method is used for temperature control in greenhouse. The system is implemented using low power wireless components, and easy to be installed. A good wireless solution is provided by this system for centralized management of the greenhouse group.

Research of Water Quality in Typical Low Permeability Oilfield Produced Water Treatment

2014 ◽  
Vol 556-562 ◽  
pp. 867-871
Author(s):  
Qiu Shi Zhao
Keyword(s):  
Water Quality ◽  
Oil Recovery ◽  
Treatment Process ◽  
Produced Water ◽  
Sewage Treatment ◽  
Oil Fields ◽  
Water Separation ◽  
Oil Water Separation ◽  
Oilfield Produced Water ◽  
Oil Water

It is significative to study sewage treatment process in low permeable oil fields. It could enhance the oil recovery. The water quality characteristics and oil/water separation characteristics were researched during different period process by GC-MS. It shows that there are about 108 kinds of organic matters, including 45 kinds of aliphatic hydrocarbon, 7 kinds of aine, 5 kinds of sulfocompound and 9 kinds of hexacyclic compounds, such as Benzene, phenol, naphthalene and anthracene. The percent of oil droplets which size was less than 10μm is 57.3%, compared to 91.6% which size was more than 50μm. It is difficult to separate the water and oil. The remaining oil was emulsified oil. The process was hard to decrease COD, and some pollutants were existed in water, such as Arsenic, Selenium, Mercury ,Cadmium and Cr6+. It is further proposed to optimize and develop this process to removal oil and suspended solids.

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.

The Automatic Control System Based on PROFIBUS for the City Sewage Treatment

2013 ◽  
Vol 385-386 ◽  
pp. 857-861
Author(s):  
Xiao Ping Huang ◽  
Qi Xing Qing
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Fuzzy Controller ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Difficult Problem ◽  
Urban Sewage ◽  
Treated Sewage

On the basis of the computerized technological process control of sewage treatment in a urban sewage treatment plant in the Zone of Nanning, the author had brought forward a plan of PROFIBUS that based on automatic control system for sewage treatment, and designed the automatic control system diagram and the PROFIBUS network diagram for sewage treatment plant. At the same time, the author also made a study of techniques to control the sewage aeration, which was the most difficult problem in sewage treatment process. The fuzzy controller could indicate the changes of the water quality in treated sewage, effectively controlled the volume of aeration and then cut down the operation costs,it had produced good economic and social benefits.

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.

A Stable Adaptive Control Method in Networked Control System

2011 ◽  
Vol 110-116 ◽  
pp. 4837-4844
Author(s):  
Yu Zhang ◽  
Peng Cheng ◽  
Teng Fei Yin
Keyword(s):  
Control System ◽  
Time Delay ◽  
Control Method ◽  
Fuzzy Controller ◽  
Sampling Period ◽  
Networked Control System ◽  
Network Control ◽  
Control Logic ◽  
Network Time ◽  
Long Time

In this paper it has made study on long time-delay network control system which is greater than one sampling period, it has made modeling on sensor node time drive, controller node and actuator node event-driven system The special question has been considered which was brought more than one sampling period delay, the fuzzy control logic has been applied in MATLAB to design an adaptive Fuzzy controller, when the network time delay changes the controller parameters can be adjusted dynamically, to make dynamic compensation on network time delay, and through simulation experiments to verify the algorithm effectiveness.

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