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PELS (Procedia of Engineering and Life Science)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 28072243     DOI : https://doi.org/10.21070/pels
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
PELS (Procedia of Engineering and Life Science) is an international journal published by Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo. The research article submitted to this online journal will be double blind peer-reviewed (Both reviewer and author remain anonymous to each other). The accepted research articles will be available online following the journal peer-reviewing process. Language used in this journal is Bahasa (Indonesia) or English. Aims and Scope of this journal is science and technology.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 662 Documents
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Adaptive PSO-Based Predictive Control for Photovoltaic Inverters Mraidi, Maytham Jawad
Procedia of Engineering and Life Science Vol. 8 No. 1 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i1.2681

Abstract

General Background : The rising global penetration of photovoltaic (PV) systems necessitates inverter technologies capable of maintaining power quality under dynamic conditions. Specific Background : Finite Set Model Predictive Control (FS-MPC) offers fast dynamic response but remains limited by fixed, manually tuned weighting factors that do not adjust to changing irradiance, loads, or grid disturbances. Knowledge Gap: Existing studies rarely provide real-time adaptive tuning mechanisms that remain computationally feasible for embedded inverter applications. Aim: This study proposes a hybrid control strategy that integrates FS-MPC with Particle Swarm Optimization (PSO) to automatically adjust cost-function weights during operation. Results: Simulations in MATLAB/Simulink show that the PSO-FS-MPC controller achieves lower THD (2.1%), faster settling time (8 ms), and higher conversion efficiency (96.8%) than conventional FS-MPC and PI-SPWM methods across irradiance drops, load variations, grid sags, and partial shading. Novelty: The method performs continuous, real-time parameter adaptation using a lightweight optimization layer without exceeding computational limits. Implications: These findings indicate that adaptive predictive control can support more stable, efficient, and grid-compliant PV inverter operation under realistic dynamic scenarios. Highlights: Introduces real-time adaptive tuning for FS-MPC using PSO. Achieves superior THD, efficiency, and transient response under dynamic conditions. Demonstrates computational feasibility for practical inverter implementation. Keywords: PV Inverter, Model Predictive Control, Particle Swarm Optimization, Power Quality, Adaptive Tuning
Advanced Hybrid PID–Adaptive Control Strategy for Enhanced Gas Turbine Engine Performance Ghmayes, Iqdqm Khairullah
Procedia of Engineering and Life Science Vol. 8 No. 1 (2025): Proceedings of the 8th Seminar Nasional Sains 2025
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v8i1.2686

Abstract

General Background Gas turbine engines operate under highly variable and nonlinear conditions, yet conventional fixed-gain PID controllers cannot sustain optimal performance as operating points shift and components age. Specific Background The integration of a Two-Degree-of-Freedom PID with real-time adaptive mechanisms offers a promising pathway to enhance tracking accuracy, disturbance rejection, and long-term robustness. Knowledge Gap Existing studies rarely evaluate a fully integrated hybrid architecture that combines 2-DOF PID, adaptive estimation, anti-windup, and bumpless transfer under realistic disturbances, degradation, and noise. Aims This study designs and validates a Hybrid 2-DOF PID–Adaptive controller for a single-shaft industrial gas turbine using high-fidelity MATLAB/Simulink modeling. Results The hybrid controller significantly reduced overshoot, accelerated settling time by more than 20 percent, and maintained near-nominal performance under 10 percent simulated efficiency loss, outperforming fixed-gain PID, fixed-gain 2-DOF PID, and standalone MRAC. Novelty The research provides a unified, computationally efficient architecture that stabilizes transient behavior while continuously adapting to plant variations. Implications These findings demonstrate a practical upgrade path for industrial gas turbines, offering improved efficiency, reduced thermal stress, and enhanced reliability across the engine lifecycle.Highlight : Emphasizes the role of hybrid architecture in improving transient response and stability. Highlights adaptive capabilities to maintain performance during component degradation. Demonstrates significant improvements over conventional controllers in various test scenarios. Keywords : Gas Turbine, Hybrid Control, 2-DOF PID, Adaptive Control (MRAC/RLS), Disturbance Rejection

Page 67 of 67 | Total Record : 662

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