scholarly journals Design of a Prototype of Smoke Exhaust Control System in an Enclosed Room with the Fuzzy Sugeno Method

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Setya Ardhi ◽  
Danny Kusuma ◽  
Judi Sugiono ◽  
Suhati Tjandra

Cigarette smoke can contaminate indoor air that causes some health risks. Smoke control in enclosed rooms is necessary to reduce the thick smoke in them by controlling the CO content index to the desired point. The purpose of the study, knowing the grouping of the density of smoke and the time in disposing of smoke to the point of a predetermined setpoint value of 60 ppm. This research applied the Fuzzy Logic Sugeno Method and hardware design using a prototype in the form of an acrylic box with a ratio of 1:10 of the actual size as a tool test site; LCD to display information, namely, in the form of smoke density, fan, setpoint value, and smoke value; MQ2 sensors for CO smoke detection; Arduino Nano as a microcontroller; and relay and fan as output. The experiment results resulted in 3 categories of smoke: low, medium, and high. Besides, the results of this study also showed that the time required to emit smoke in a closed room to the point of a setpoint value of 60 ppm with the help of 3 fans on each fan 12v / 0.14A is 2 minutes 05 seconds.

2020 ◽  
Vol 3 (2) ◽  
pp. 32-37
Author(s):  
M. Sunan Ishfahani ◽  
Nur Hanifah Yuninda ◽  
Purwanto Gendroyono

The purpose of this research is to make prototype of smoke concentration levels control system in smoking room by fuzzy logic method based on arduino. The prototype is able to detect and control the smoke to stay constantly in allowed threshold to the smoking room and provide periodic information about the concentration level in that smoking room automatically. This research uses Research and Development Method, which includes requirements analysis, design, basic implementation into prototype form. Requirements analysis is based on the lack of smoke detection and control systems in smoking rooms. The design of the control system in this study is applied to fuzzy logic controller. This research emphasizes more on the basic implementation of the desired prototype by standards testing such as output voltage testing and fuzzyfication testing that have not arrived at the stage of efficiency testing. The results show that the system will be put into danger condition if the concentration of smoke reaches 80 PPM. At that level, the voltage measured by the sensor is in the range of 3.19 to 3.41 VDC with an average voltage increase of 0.035 to 0.04 VDC per PPM. Error in fuzzyfication testing is 0.04% and 0.08% based on calculation. Abstrak Tujuan penelitian ini adalah membuat prototype sistem kendali kadar kepekatan asap pada smoking room dengan metode fuzzy logic berbasis arduino. Alat ini dapat mendeteksi dan mengendalikan asap agar tetap pada ambang batas yang diperbolehkan pada smoking room serta memberikan informasi secara periodik tentang kadar kepekatan asap yang terdapat pada smoking room secara otomatis. Penelitian ini menggunakan Metode Penelitian dan Pengembangan (Research and Development) yang meliputi analisis kebutuhan, perancangan, implementasi dasar dalam bentuk prototype dan pengujian. Analisis kebutuhan didasari karena jarang terdapatnya sistem deteksi dan kendali asap pada smoking room. Perancangan sistem kendali pada penelitian ini diterapkan fuzzy logic controller. Penelitian ini lebih menekankan pada implementasi dasar dari prototype yang diinginkan dengan pengujian standar seperti pengujian tegangan keluaran dan pengujian fuzzyfikasi yang belum sampai pada tahap pengujian efisiensi. Hasil penelitian menunjukkan bahwa sistem akan mengindikasikan sebuah bahaya jika kadar kepekatan asap mencapai 80 PPM. Pada kadar tersebut, tegangan yang terukur oleh sensor berada pada kisaran 3,19 sampai 3,41 VDC dengan rata-rata kenaikan tegangan sebesar 0,035 sampai 0,04 VDC per PPM. Error pada pengujian fuzzyfikasi adalah sebesar 0,04 % dan 0,08 % yang didasarkan pada perhitungan.


2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raid Daoud ◽  
Yaareb Al-Khashab

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.


Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory


2009 ◽  
Vol 147-149 ◽  
pp. 290-295 ◽  
Author(s):  
Bogdan Broel-Plater ◽  
Stefan Domek ◽  
Arkadiusz Parus

The paper deals with semi-active chatter absorber based on an electrodynamic transducer built around high-energy permanent magnets. Also, a fuzzy logic control system for the absorber control system has been designed. The principal advantage of fuzzy control is the possibility to implement practical experience gained by machine operators in the control algorithm. Hence, the possibility of factoring such quantities, as vibrations experienced by selected points of the machine-tool, and sound emitted by working machine into the analyzed chatter absorber fuzzy control system has been studied in the paper. The control system has been tested by way of simulation with the use of the process and cutting force models.


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