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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Teknologi Informasi dan Ilmu Komputer Frontier Energy System and Power Engineering Jurnal JEETech BEES: Bulletin of Electrical and Electronics Engineering Jurnal Fortech SinarFe7 Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Nucleus Journal Jurnal FORTECH
Dwi Ajiatmo
Department of Electrical Engineering, Universitas Darul Ulum Jombang, Jl. Presiden KH. Abdurrahman Wachid 29 A, Jombang, East Java, Indonesia.Telp. (+62321) 854106
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation

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Journal : Nucleus Journal

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Optimasi Thermal Oil Heater Menggunakan ACO Sebagai Tunning PID Controller Ali Fikri Haiqal, Mochamad; Rukslin; Ajiatmo, Dwi; Ali, Machrus
Nucleus Journal Vol. 2 No. 1 (2023): May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v2i1.2101

Abstract

The furnace is a piece of equipment used to heat materials or change their shape. Process control has become increasingly important in industry, as a consequence of global competition. Year after year, furnaces have improved in both industrial processes and equipment. The tuning process plays a role in ensuring that the performance of a system meets operational objectives. Intelligent control based on Artificial Intelligence (AI) has been developed to improve conventional control so that the output voltage is always considered constant under changing loads. From the simulation results of this research, it was found that the PID-ACO controller model is the best model for using a PID control system. This design without control never reaches a steady state, with the undershot being quite small, the PID-ACO control system has the fastest settling time and steady-state response. Even though PID-ACO has a higher overshoot than PID-Auto, the undershoot is higher than PID-Auto. PID-ACO has lower overshoot and undershoots than PID-Auto
Optimasi LFC (Load Frequency Control) Pada Mikrohidro Menggunakan Metode ACO-ANFIS dan BA-ANFIS Nafiardli, Rizqi; Sunarto, Sunarto; Ali, Machrus; Ajiatmo, Dwi
Nucleus Journal Vol. 3 No. 1 (2024): May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v3i1.3104

Abstract

Micro-hydro Power Plant is a small-scale power plant. Micro-hydro plants are built with enough water potential to generate electrical energy. A common problem with micro-hydro generating systems is that the output of the generator is not constant. This is caused by changes in connected loads. Thus causing frequent fluctuations in the frequency and voltage of the system that can cause damage to electrical equipment. Because it is used Load Frequency Control (LFC) to control the frequency can be more stable. To obtain optimal control parameters on micro hydropower systems used by Artificial Intelligence (AI) is Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS data is retrieved from training data of PID controllers tuned using Ant Colony Optimization (ACO) and Bat Algorithm (BA). This study compared uncontrolled methods, PID-ZN control methods, PID-ACO method, PID-BA, PID-ACO-ANFIS, and PID-BA-ANFIS obtained the best control method. The result of this research is the control method of PID-ACO-ANFIS is the best control method with overshoot 0.00 and the fastest settling time is 0.00. The results showed that the smallest overshoot (0) in the PID-ACO-ANFIS model, the smallest undershoots (1,12x10-5) in PID-ACO-ANFIS and the fastest settling time (3.77 seconds) in the starting also at PID-ACO-ANFIS. The results of this study will be tried bengan other methods, which results may be better
Co-Authors Agus Raikhani, Agus Ali Fikri Haiqal, Mochamad Andi Imran Gunawan Zain, Satria Heri Suryoatmojo Hidayatul Nurohmah, Hidayatul Imam Robandi Machrus Ali Machrus Ali Malik, Fahad Abdul Muhammad Ruswandi Djalal Nafiardli, Rizqi NURUL AZIZAH Puji Astoro, Fany Wahyu Rio Firmansyah, Rio Rizal Anas, Febrian Seno Aji Siswanto, Makhaban Sunarto Sunarto Zulhajji