Yazar "Ghandour, Raymond" seçeneğine göre listele

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    Design of PI-PDN controlled DFIG system via a new objective function and starfish optimizer
    (Institute of Electrical and Electronics Engineers Inc., 2025) İzci, Davut; Artun, Fatma; Ekinci, Serdar; Ghandour, Raymond; Salman, Mohammad; Ghith, Ehab
    This study presents a novel approach to transient performance regulation in doubly fed induction generator (DFIG) systems by employing a cascaded proportional-integral (PI) and proportional-derivative with a filter (PDN) controller tuned via the starfish optimization algorithm (SFOA). To improve both transient and steady-state response, a custom scalar objective function is formulated, integrating rise time, settling time, overshoot, and steady-state error. The designed controller structure combines an outer PI loop and an inner filtered PDN loop, allowing precise reference tracking and enhanced robustness. The performance of the proposed SFOA-based controller is rigorously evaluated against well-established optimization algorithms including genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), grey wolf optimizer (GWO), and synergistic swarm optimization algorithm (SSOA). Statistical performance, optimal parameter values, and detailed time-domain simulations are provided for comparison. The results clearly demonstrate that the SFOA-tuned PI-PDN controller delivers superior consistency, minimal overshoot, and faster dynamic response. This performance is validated across multiple trials, highlighting the potential of SFOA as an effective tool for control system design in renewable energy applications.
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    Spider wasp optimizer-based PID control approach for temperature management in continuous stirred tank reactors
    (Institute of Electrical and Electronics Engineers Inc., 2025) İzci, Davut; Jabari, Mostafa; Ekinci, Serdar; Ghandour, Raymond; Salman, Mohammad
    Temperature control in continuous stirred tank reactors (CSTRs) poses a significant challenge due to the inherent nonlinearity of the process and the presence of time delays. These complexities often result in unstable and inefficient performance of traditional control systems. In this paper, a novel approach based on optimizing a PID-F controller using the spider wasp optimizer (SWO) is proposed to address temperature management in CSTRs. This method leverages SWO's computational capabilities to finely tune the controller parameters, effectively overcoming the challenges of nonlinearity and time delays. To implement this solution, the CSTR's mathematical model was linearized and approximated as a stable first-order plus time delay (SFOPTD) model. The performance of SWO in optimizing the PID-F controller was then compared with other established algorithms (CFOA, FLA, and MPA) through simulation studies. Simulation results demonstrate that the proposed SWO-based approach achieves a minimum rise time (0.0126 s), the lowest overshoot (0.1249%), and a fast settling time (0.0645 s). These outcomes highlight SWO's superior performance over competing algorithms, underscoring its potential for industrial applications in CSTR control.