scholarly journals Design and implementation of fuzzy control system for egg incubator based on IoT technology

2021 ◽  
Vol 1208 (1) ◽  
pp. 012038
Author(s):  
Edin Mujčić ◽  
Una Drakulić

Abstract Nowadays, automatic systems are using in more spheres of industry, and in this way, human intervention is avoided and used as minimally as possible. In the chicken poultry industry, the use of mother hens is transferring to automatic egg incubating systems. Such systems are helpful for the farmers to incubate the eggs automatically without the need for human intervention. These systems work by keeping the physical quantities, temperature and humidity, at the optimal level. In that way, the fetuses inside eggs are growing without the presence of the mother hen. The egg incubating systems not only improve poultry production considerably but also help in the regularity of income making, enabling the farmers to be able to get transition into possible rural entrepreneurship. This paper describes the design and implementation of a fuzzy control system for egg incubating based on IoT technology. The microcontroller is programmed to work as a fuzzy logic control system for controlling microclimate conditions in the egg incubator to keep the conditions for different eggs type optimal. Informations from the temperature and humidity sensors are sent wirelessly to the cloud. Also, the implemented egg incubating system enables automatic tracking of the remaining days until hatching chickens. In this way, remote monitoring, from any location, of microclimatic conditions inside the egg incubator is enabled. For the experimental work analysis of the implemented egg incubating system, the egg incubator is made. Based on the results of the experimental work analysis can be seen that the egg incubating system works well and that it helps with improving poultry production.

2021 ◽  
Vol 57 (1) ◽  
pp. 528-536
Author(s):  
Ghunter Paulo Viajante ◽  
Eric Nery Chaves ◽  
Luis Carlos Miranda ◽  
Marcos Antonio A. de Freitas ◽  
Carlos Antunes de Queiroz ◽  
...  

Author(s):  
Rodolfo E. Haber-Guerra ◽  
Rodolfo Haber-Haber ◽  
Diego Martín Andrés ◽  
Angel Alique Palomar

The high-performance drilling (HPD) process has a significant impact on production in many industries, such as the automotive, die/mold and aerospace industries. However, cutting conditions for drilling are generally chosen from a machining-data handbook, requiring operator experience and skill. In order to improve drilling efficiency while preserving tool life, the current study focuses on the design and implementation of a simple, optimal fuzzy-control system for drilling force. The main topic of this study is the design and implementation of a networked fuzzy controller. The control system consists of a two-input (force error and change of error), single-output (feed-rate increment) fuzzy controller with nine control rules, the sup-product compositional operator for the compositional rule of inference, and the center of area as the defuzzification method. The control algorithm is connected to the process through a multipoint interface (MPI) bus, a proprietary programming, and communication interface for peer-to-peer networking that resembles the PROFIBUS protocol. The output (i.e., feed-rate) signal is transmitted through the MPI; therefore, network-induced delay is unavoidable. The optimal tuning of the fuzzy controller using a maximum known delay is based on the integral time absolute error (ITAE) criterion. The goal is to obtain the optimal tuning parameters for the input scaling factors while minimizing the ITAE performance index. In this study, a step in the force reference signal is considered a disturbance, and the goal is to assess how well the system follows set-point changes using the ITAE criterion. The optimization is performed using the Nelder–Mead simplex (direct search) method. The main advantage of the approach presented herein is the design of a simple fuzzy controller using a known maximum allowable delay to deal with uncertainties and nonlinearities in the drilling process and delays in the network-based application. The results demonstrate that the proposed control strategy provides an excellent transient response without overshoot and a slightly higher drilling time than the CNC working alone (uncontrolled). A major issue in high performance drilling is the increase in cutting force and torque that occurs as the drill depth increases. Therefore, the fuzzy-control system reduces the influence of these factors, thus eliminating the risk of rapid drill wear and catastrophic drill breakage.


Author(s):  
Rodolfo E. Haber ◽  
Rodolfo Haber-Haber ◽  
Angel Escribano ◽  
Javier Escribano

In order to improve drilling efficiency while preserving tool life, the current study focuses on the design and implementation of a simple, optimal fuzzy-control system for drilling force. The main topic of this study is the design and implementation of a networked fuzzy controller. The control system consists of a two-input (force error and change of error), single-output (feed-rate increment) fuzzy controller. The control algorithm is connected to the process through a multipoint interface (MPI) bus. The output (i.e., feed-rate) signal is transmitted through the MPI; therefore, network-induced delay is unavoidable. The optimal tuning of the fuzzy controller using a maximum known delay is based on the integral time absolute error (ITAE) criterion. The main advantage of the approach presented herein is the design of a simple fuzzy controller using a known maximum allowable delay to deal with uncertainties and nonlinearities in the drilling process and delays in the network-based application. The results demonstrate that the proposed control strategy provides an excellent transient response without overshoot and a slightly higher drilling time than the CNC working alone (uncontrolled). Therefore, the fuzzy-control system reduces the influence of the increase in cutting force and torque that occurs as the drill depth increases, thus eliminating the risk of rapid drill wear and catastrophic drill breakage.


2011 ◽  
Vol 58-60 ◽  
pp. 749-754
Author(s):  
Jun Zhang

For the characteristics and needs of temperature and humidity control in current industrial environment, the paper proposes a fuzzy-based embedded temperature and humidity control system,which enables consumers monitor and control temperature and humidity parameters through the PDA when moving. The article first introduces the hardware structure of the temperature and humidity fuzzy control system, then based on the theory of fuzzy set and the fuzzy number operations of l - cut set, focusing on the transition rules of fuzzy controlling fuzzy conditions of the temperature and humidity control systems, and finally introduce the key technologies of embedded software system of the PDA,. The experimental results show that the system is very practical and flexible.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Zhi LIU ◽  
Ardashir Mohammadzadeh ◽  
Hamza Turabieh ◽  
Majdi Mafarja ◽  
Shahab S. Band ◽  
...  

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