Implementation of a Mamdani fuzzy logic controller for building automation using electronic control based on AT89S51

Tarigan, Pilipus; Sinurat, Sinar; Sinambela, Marzuki

doi:10.1109/time-e.2015.7389753

Cited by 11 publications

(8 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The input parameters of the fuzzy controller are processed by the inference engine using a rule-based fuzzy set. Fuzzy systems were first put forward by Mamdani as a suggestion for solving complex problems [19]. Fuzzy logic is a powerful method used in the control of systems that are not well defined, and are not fully mathematical.…”

Section: A Evolutionary Algorithm-based Fuzzy Systemsmentioning

confidence: 99%

Optimal Adjustment of Evolutionary Algorithm-Based Fuzzy Controller for Driving Electric Motor with Computer Interface

Bulut¹

2021

Preprint

View full text Add to dashboard Cite

This study focused on the development of a system based on evolutionary Algorithms to obtain the optimum parameters of the fuzzy controller to increase the convergence speed and accuracy of the controller. The aim of the study is to design fuzzy controller without expert’s knowledge by using evolutionary genetic algorithms and carry out on a DC motor. The design is based on optimization of rule bases of fuzzy controller. In the learning stage, the obtained rule base fitness values are measured by working the rule base on the controller. The learning stage is repeated the termination criteria. The proposed fuzzy controller is performed on the dc motor from a PC program using a interface circuit.<div>Note : This article has been accepted for publication in a future issue of ELECTRICA journal, it is now in the early view. </div><div>Citation information: </div><div>M. Bulut, "Optimal Adjustment of Evolutionary Algorithm-based Fuzzy Controller for Driving Electric Motor with Computer Interface", Electrica, August 5, 2021. DOI: 10.5152/electrica.2021.21033.</div>

show abstract

Section: A Evolutionary Algorithm-based Fuzzy Systemsmentioning

confidence: 99%

Optimal Adjustment of Evolutionary Algorithm-Based Fuzzy Controller for Driving Electric Motor with Computer Interface

Bulut¹

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Selanjutnya metode FLC dilakukan penelitian oleh ( Pilipus Tarigan, Sinar Sinurat, Marzuki Sinambela. IEEE 25 Januari 2016) yang melakukan penelitian berjudul Implementation of a Mamdani fuzzy logic controller for building automation using electronic control based on AT89S51, dimana metode Fuzzy Logic Controller ini digunakan untuk pengaturan lampu secara otomatis yang tersistem dengan komputerisasi yang diterapkan kepada Mikrokontroler AT89S51 yang mengatasi masalah menghidupkan dan mematikan lampu secara manual yang membuang banyak waktu, tenaga fisik dan biaya [2].…”

Section: Pendahuluanunclassified

Penjemur Kerupuk Otomatis Menggunakan Sistem Kecerdasan Buatan Arduino Uno Dengan Menerapkan Metode Fuzzy Logic Controller (FLC)

Suandi¹

2020

Jur. Ris. Kom.

View full text Add to dashboard Cite

Denang jangek cracker factory is a company located on the road denai Kota medan, this factory everyday produces jangek crackers, at the stage of production there is a stage of drying jangek crackers used manually, where crackers are placed outside the room exposed to the sun's heat at the drying stage . When the rainy season arrives this makes a lot of time taken up during the drying process because often it rains suddenly, then the crackers must be immediately put in or placed in a dry place not exposed to rain water. The FLC method is a method that is often used in making artificial intelligence systems that are applied to an Arduino uno microcontroller where the method only recognizes on or Off, 0 or 1, nothing is vague. From the description of the problem above, the writer makes an artificial intelligence system that is applied to a device, namely Arduino Uno, where the system thinks like humans, who can think like when it rains so that the tool will move or close crackers that are being dried in the sun so that it is not exposed to rain with using an FLC method applied to Arduino Uno

show abstract

“…The essence of programming in microcontroller on defuzzification (output) is to determine the crisp value of output of inference used in space-sharing methodology [12]. The implementation in the engine of the application of fuzzy logic systems does not require a detailed systemic model of the system, and the optimal performance of the designed control system can be achieved using human logic, fuzzification formula, knowledge base, inference, and defuzzification [13] 3 Results of 7 (Seven) Crops…”

Section: Fuzzy Mamdanimentioning

confidence: 99%

Fuzzy Mamdani Implementation for Hydroponic Water Content Automation

Cucus¹,

Endra²,

MARIA³

2018

Proceedings of the the 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus

View full text Add to dashboard Cite

The technique used in this hydroponic planting is DIS (Drip Irrigation System). DIS is an irrigation alternative for arid and semi arid regions because it is more efficient in terms of water and electricity. Several IoT-based devices were developed for automation of DIS techniques in agricultural hydroponics. The problems that arose in this study were in determining the water content of hydroponic plants using 3 (three) variables namely PPM, PH and TEMPERATURE while each plant has different needs. Fuzzy logic is one method for analyzing systems that contain uncertainty. In this study mamdani method, often also known as the Min-Max method, is used. System design to get output is done in stages (a) the formation of fuzzy sets, (b) Application of implication functions, (c) forming rules, and (d) confirmation (defuzzyfication). In this study defuzzyfication is done using centroid method.

show abstract

Implementation of a Mamdani fuzzy logic controller for building automation using electronic control based on AT89S51

Cited by 11 publications

References 11 publications

Optimal Adjustment of Evolutionary Algorithm-Based Fuzzy Controller for Driving Electric Motor with Computer Interface

Optimal Adjustment of Evolutionary Algorithm-Based Fuzzy Controller for Driving Electric Motor with Computer Interface

Penjemur Kerupuk Otomatis Menggunakan Sistem Kecerdasan Buatan Arduino Uno Dengan Menerapkan Metode Fuzzy Logic Controller (FLC)

Fuzzy Mamdani Implementation for Hydroponic Water Content Automation

Contact Info

Product

Resources

About