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Pinto Anugrah
Contact Email
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INDONESIA
Journal of Power, Energy, and Control
Published by MSD Institute
ISSN : -     EISSN : 30478804     DOI : -
Journal of Power, Energy, and Control (PEC) mainly focuses on power engineering, energy engineering, renewable energy, control systems in energy application, and various sustainable energy applications. PEC welcomes the submission of high quality original research papers, review papers, and case study reports.
Articles 22 Documents
Control Strategy Assessment: PID and Fuzzy-PID for Compound DC Motor Systems Sam-Okyere, Yaw Amankrah; Osei-Kwame, Emmanuel; Issaka, Dienatu; Arkorful, Isaac Papa Kwesi
Journal of Power, Energy, and Control Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v2i2.74

Abstract

Compound DC motors, prized for their high torque and speed in industrial applications, demand robust control under nonlinear conditions. This study advances the field of Adaptive Neuro-Fuzzy Interface (ANFIS) by comparing a Ziegler-Nichols-tuned Proportional-Integral-Derivative (PID) controller with a novel ANFIS-PID controller for a compound DC motor. Unlike prior work, the research focuses on the unique dynamics of compound motors for real-time applications. Using MATLAB Simulink simulations. Performance was assessed via overshoot, rise time, settling time, and steady-state error under no-load and full-load conditions. The PID controller yielded 11.789% overshoot, 1.140s rise time, and 2.251s settling time, while the ANFIS-PID achieved 6.989% overshoot, 0.951s rise time, and 1.962s settling time, with a 50% lower steady-state error. These results, validated across 10 runs (p < 0.05), highlight the ANFIS-PID’s superior adaptability to the motor’s series-shunt dynamics, offering a 40.7% overshoot reduction.
Simulation-Based Design of a Solar PV Water Pumping System for Deep-Well Irrigation: A Case Study in Damascus Adam, Adil; Alahmad, Adnan; Diab, Samer
Journal of Power, Energy, and Control Vol. 3 No. 1 (2026)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v3i1.80

Abstract

This study presents a simulation-based design of a solar photovoltaic (PV) water pumping system for deep-well irrigation in Damascus, Syria, where water scarcity and unreliable grid electricity constrain agricultural productivity. The objective is to develop a technically feasible and economically viable solar-powered alternative to conventional diesel-based pumping systems. This study contributes by integrating site-specific hydraulic requirements with PVsyst-based simulation for high-head irrigation conditions. The proposed system is designed and analyzed based on site-specific climatic and hydraulic conditions, including a daily water demand of 104 m³ and a total dynamic head of 160 m. The system configuration consists of a 4.2 kWp PV array (21 modules), a submersible pump (PS4000 C-SJ8-15), and an MPPT-based controller. Simulation results indicate that the system can reliably meet the required water demand under local solar irradiance conditions (~5.5 kWh/m²/day), achieving an overall system efficiency of 38.89%. Comparative analysis suggests that, despite higher initial capital costs, the solar-powered system offers significant long-term economic advantages due to near-zero operating costs, with an estimated payback period of 3–4 years. The findings demonstrate that solar PV water pumping is a viable and sustainable solution for high-head irrigation in semi-arid regions such as Damascus, with strong potential to reduce dependence on fossil fuels and improve agricultural resilience.

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