scholarly journals Design of a Distributed Control System with Fuzzy Logic Controller and PLC in Wireless Sensor Network Based Industrial Environments and Monitoring the System with RFID

2019 ◽  
pp. 173-191
Author(s):  
Akif Durdu ◽  
Üzeyir İlbay Bozkurt ◽  
Mehmet Celalettin Ergene
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Distributed Control ◽  
Fuzzy Logic Controller ◽  
Wireless Sensor ◽  
Distributed Control System ◽  
Industrial Environments

Fuzzy-Neural Petri Net Distributed Control System Using Hybrid Wireless Sensor Network and CAN Fieldbus

2016 ◽  
Vol 12 (1) ◽  
pp. 54-70
Author(s):  
Ali Abed ◽  
Abduladhem Ali ◽  
Nauman Aslam ◽  
Ali Marhoon
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Distributed Control ◽  
Petri Net ◽  
Wireless Sensor ◽  
Distributed Control System ◽  
Sensor Actuator ◽  
Fuzzy Neural

The reluctance of industry to allow wireless paths to be incorporated in process control loops has limited the potential applications and benefits of wireless systems. The challenge is to maintain the performance of a control loop, which is degraded by slow data rates and delays in a wireless path. To overcome these challenges, this paper presents an application–level design for a wireless sensor/actuator network (WSAN) based on the “automated architecture”. The resulting WSAN system is used in the developing of a wireless distributed control system (WDCS). The implementation of our wireless system involves the building of a wireless sensor network (WSN) for data acquisition and controller area network (CAN) protocol fieldbus system for plant actuation. The sensor/actuator system is controlled by an intelligent digital control algorithm that involves a controller developed with velocity PID-like Fuzzy Neural Petri Net (FNPN) system. This control system satisfies two important real-time requirements: bumpless transfer and anti-windup, which are needed when manual/auto operating aspect is adopted in the system. The intelligent controller is learned by a learning algorithm based on back-propagation. The concept of petri net is used in the development of FNN to get a correlation between the error at the input of the controller and the number of rules of the fuzzy-neural controller leading to a reduction in the number of active rules. The resultant controller is called robust fuzzy neural petri net (RFNPN) controller which is created as a software model developed with MATLAB. The developed concepts were evaluated through simulations as well validated by real-time experiments that used a plant system with a water bath to satisfy a temperature control. The effect of disturbance is also studied to prove the system's robustness.

Design and Application of the Indoor Environment Monitoring & Control System at Tianjin First Central Hospital

2013 ◽  
Vol 380-384 ◽  
pp. 635-638
Author(s):  
Chen Chen
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Indoor Environment ◽  
Communication Protocol ◽  
Automatic Monitoring ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Human Beings ◽  
Central Hospital

With advance of our human beings science and technology and enhance of the living standards, more and more people have addressed higher requirements on the environmental conditions in a hospital, therefore, the traditional and no-intelligent monitoring devices are being replaced by the automated and networked monitoring systems gradually. In this case, application of the wireless sensor network just fits this need. This paper proposes the Tianjin First Central Hospital indoor environment monitoring & control system of distributed acquisition and execution, and centralized management by focusing on the needs for the technical indicators of the hospital indoor environment. During design of the system, an universal design concept was put forward, and also a non-standard communication protocol for the wireless sensor network designed independently in combination with the OSI open standard. In this paper, realization of the communication protocol among the nodes with embedded software and the operation mechanism of the modes themselves are discussed, also a console panel has been developed for the data center. Several software design algorithms are proposed with respect to the network layout. This paper also describes the test platform of the Tianjin First Central Hospital indoor environment monitoring & control system established with the network components designed, and provides the test and verification results, including the monitored data of the various gases, corresponding automatic control functions, and underlay BER analysis. The results show that this system can basically realize automatic monitoring on the Tianjin First Central Hospital indoor environment. At present, the sensitive gases include CO, CO2, O2, NH3 and formaldehyde, sensitive environments temperature, humidity and light intensity, and controlled targets ventilation and lighting. This paper offers an optional solution for environment monitoring and has certain theoretical value and engineering significance.

scholarly journals A Cotton High-Efficiency Water-Fertilizer Control System Using Wireless Sensor Network for Precision Agriculture

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1693
Author(s):  
Chanchan Du ◽  
Lixin Zhang ◽  
Xiao Ma ◽  
Xiaokang Lou ◽  
Yongchao Shan ◽  
...  
Keyword(s):  
Control System ◽  
Decision Support ◽  
Wireless Sensor Network ◽  
Decision Support System ◽  
Sensor Network ◽  
Support System ◽  
Precision Agriculture ◽  
High Efficiency ◽  
Wireless Sensor ◽  
Sensors And Actuators

Scientific researchers have applied newly developed technologies, such as sensors and actuators, to different fields, including environmental monitoring, traffic management, and precision agriculture. Using agricultural technology to assist crop fertilization is an important research innovation that can not only reduce the workload of farmers, but also reduce resource waste and soil pollution. This paper describes the design and development of a water-fertilizer control system based on the soil conductivity threshold. The system uses a low-cost wireless sensor network as a data collection and transmission tool and transmits the data to the decision support system. The decision support system considers the change in soil electrical conductivity (EC) and moisture content to guide the application of water-fertilizer, and then improves the fertilization accuracy of the water-fertilizer control system. In the experiment, the proposed water-fertilizer control system was tested, and it was concluded that, compared with the existing traditional water-fertilizer integration control system, the amount of fertilizer used by the system was reduced by 10.89% on average, and it could save 0.76–0.87 tons of fertilizer throughout the whole growth period of cotton.

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