Multi-stage Event-triggered Model Predictive Control for Automated Trajectory Drilling

Morabito, Bruno; Kögel, Markus; Blasi, Svenja; Klemme, Vanja; Hansen, Christian; Höhn, Oliver; Findeisen, Rolf

doi:10.1016/j.ifacol.2020.12.2421

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…Pada umumnya kipas angin dilengkapi dengan remote control atau tombol pada tiang kipas untuk mengubah kecepatan kipas secara manual. Cara pengendalian semacam ini tidak efisien karena banyak masalah baru yang muncul saat menggunakannya, mulai dari malas menyalakan, kesulitan mengatur tingkat kecepatan dengan kondisi ruangan, hingga hal-hal lain seperti lupa mematikan ketika selesai digunakan [5].…”

Section: Pendahuluanunclassified

Optimasi Pengendalian Suhu dan Kelembapan Ruangan di Kota Yogyakarta Menggunakan Metode Fuzzy

2022

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The dry season is a season where most regions in Indonesia experience an increase in temperature. This unstable temperature can have a negative effect on the human body, so a control device is needed according to the needs of the body automatically. This study focuses on optimizing room temperature and humidity control in Yogyakarta City using a fan duty cycle unit with the Fuzzy Tsukamoto method. The ideal temperature and humidity range is obtained from measurements by the Indonesian Board of Meteorology, Climatology, and Geophysics (BMKG). The purpose of this study is to reduce the hot temperature in the room to normal temperature conditions. The calculation results with a temperature of 28.29°C and humidity of 79.06% resulted in a duty cycle of 40.92%. Based on 50 sample data taken each fan rotated for five minutes showed that the average change in temperature was -0.01°C and humidity -0.032%, meaning it could lower 0.01°C and humidity 0.032% every five minutes. This result is considered inefficient considering the very small changes, so in subsequent studies it is recommended to use technology such as air conditioning as a control tool

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Section: Pendahuluanunclassified

Optimasi Pengendalian Suhu dan Kelembapan Ruangan di Kota Yogyakarta Menggunakan Metode Fuzzy

2022

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Impact of Fuzzy Tsukamoto in Controlling Room Temperature and Humidity

Sunardi,

Yudhana,

Furizal

2023

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Dry season is a season where the room temperature exceeds the needs of the body so that it is unpleasant, unhealthy and can interfere with human productivity. In addition, the efficiency of use and resource requirements are also a concern for some people. To overcome this problem, an automatic room temperature control device was created using the ESP32 microcontroller with Tsukamoto's fuzzy algorithm optimization as a data processing technique to produce optimal fan speeds in duty cycle units based on temperature and humidity conditions in realtime. Four tests by running a fan for 30 minutes on each showed that the average difference between the maximum and minimum temperatures in the room was 0.95°C, while the average difference between maximum and minimum humidity was 2.0%. In addition, the test graph shows that when the fan is rotated in a closed room without air circulation, the relative temperature change increases from the initial minute to the last minute of the test. Meanwhile, changes in relative humidity decrease, although fluctuations increase within 1-4 minutes. This study found that fans are not effective in lowering room temperature optimally. Therefore, it is recommended to replace with an exhaust fan in future research.

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Multi-stage Event-triggered Model Predictive Control for Automated Trajectory Drilling

Cited by 2 publications

References 8 publications

Optimasi Pengendalian Suhu dan Kelembapan Ruangan di Kota Yogyakarta Menggunakan Metode Fuzzy

Optimasi Pengendalian Suhu dan Kelembapan Ruangan di Kota Yogyakarta Menggunakan Metode Fuzzy

Impact of Fuzzy Tsukamoto in Controlling Room Temperature and Humidity

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