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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Frontier Energy System and Power Engineering Jurnal Fortech Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) E-Amal: Jurnal Pengabdian Kepada Masyarakat Jurnal FORTECH
Hidayatul Nurohmah, Hidayatul
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation

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Desain Optimasi PID Controller Pada Temperatur Heating Furnace Berbasis Ant Colony Algorithm (ACO) Kusuma Apsari, Venda; Ali, Machrus; Nurohmah, Hidayatul; Rukslin, Rukslin
Jurnal FORTECH Vol. 2 No. 2 (2021): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v2i2.204

Abstract

A furnace is a tool for heating materials, oil, and so on, which usually uses gas, coal, and oil as fuel. Temperature is the main parameter that needs to be controlled in order to remain stable, precise, and of course improve fuel efficiency. As technology develops, there are several methods that can be used to control temperatures that are more reliable than conventional controls. The technology is Proportional Integral Derivative (PID) controller. PID controllers have been proven to be the best controllers and are widely used in industry. But to determine the gain from the PID value is still not accurate and can affect temperature stability, the response is also still slow to reach the desired set point. Therefore, this paper is to simulate a better PID gain value by using the artificial intelligence tuning method. The artificial intelligence method is Ant Colony Optimization (ACO). The simulation results and discussion show that the best design is PID-ACO with 0.0081 overshot, no undershot, and the fastest settling time is 35 seconds
Optimasi Kontrol Suhu Tungku Pemanas Menggunakan Metode Firefly Algorithm (FA) Rizal Anas, Febrian; Ajiatmo, Dwi; Nurohmah, Hidayatul; Ali, Machrus
Jurnal FORTECH Vol. 4 No. 2 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i2.4203

Abstract

A furnace is a piece of equipment used to heat or change shape. Process control is becoming increasingly important in industry, as a consequence of global competition. Year after year, furnaces have progressed in both industrial processes and equipment. The tuning process ensures that system performance meets operating objectives. Intelligent control based on Artificial Intelligent (AI) has developed a lot to improve conventional control to control voltage loads and is always under constant variable assessment. The research results show that the best optimization method is produced by the PID-FA method which produces overshoot = 0.0721, undershoot 0.0081, and settling time at 30.4283 seconds. The PID-FA method produces better performance, according to the desired settings, so that fuel use can have a high level of efficiency
DESAIN FREKUENSI KONTROL PADA HIBRID WIND-DIESEL DENGAN PID- PARTICLE SWARM OPTIMIZATION Nurohmah, Hidayatul; Choiruddin, Choiruddin
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 1 No. 1 (2017): PROSIDING SEMNAS INOTEK Ke-I Tahun 2017
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v1i1.394

Abstract

Sistem pembangkit listrik hibrid adalah jaringan terkontrol dari beberapa pembangkit tenaga energi terbaharukan seperti; turbin angin, sel surya, mikrohidro dan sebagainya. Fluktuasi frekuensi pada pembangkit terbarukan sangat mempengaruhi kualitas daya dalam hal ini turbin angin yang dihibrid dengan diesel. Permasalahan tersebut disebabkan, seperti tidak optimalnya setting gain dan kecilnya waktu konstan pada Automatic Voltage Regulator, terlalu banyak jaringan transmisi yang panjang sehingga kemampuan lemah (weak line). Dalam penerapannya sistem wind-diesel dikontrol dengan kontroler PID, penyetelan nilai gain dari PID masih dalam metode konvensional saja, sehingga sulit untuk mendapatkan nilai optimal. Dalam penelitian ini diterapkan desain kontrol dengan menggunakan Metode Cerdas dalam mencari nilai optimum Proporsional Intergral Derivatif (PID) untuk mengatur frekuensi beban dengan program Matlab/ Simulink. Pemodelan wind-diesel menggunakan fungsi transfer dari diagram turbin angin dan diesel. Respon sistem dengan Matlab/ Simulink dengan membandingkan dengan sistem tak terkontrol dan dengan metode PID-Trial Error, menunjukkan bahwa besar overshoot dan respon keadaan mantap (Settling Time) pada sistem terkontrol PID-PSO menjadi lebih halus dan lebih cepat.
Co-Authors Achmad Muzajjad Achmad Zaini Agil Haikal, Muhammad Andini, Tarrisma Delvy Anshoruddin, Ilham Arie Pambayun, Yoga Cakra Buana, Arya Sula Choiruddin, Choiruddin Dwi Ajiatmo Fahmi, Tubagus Indra Gunawan, Enggal Kusuma Apsari, Venda Latiana, Eka Lutfi Cahyanto, Iqbal Machrus Ali Machrus Ali Miftachul Ulum, Miftachul Muhammad Ruswandi Djalal Novrianto, Elfizar Rizal Anas, Febrian Wida Khaidir, Delief