Öztok, Mahmut Furkan

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Job Title:Arş. Gör. Uzm.
Email Address:mfoztok@ktun.edu.tr
Main Affiliation:02.04. Department of Electrical and Electronics Engineering
Status: Current Staff
Website: https://www.ktun.edu.tr/tr/Universite/PersonelBilgi/?prsnl=YpI9O1JdfStZ16E6UL3Dt0+0mYtZK95u4qgpMyyMKuL2IlHBsP0FVszXkZqYeYjWgZv0IPHXFrRiKFo8fUHN1A==
ORCID:ORCID Profile0000-0002-3179-8540
YÖK Akademik: DFB527932389009A
Google Scholar:Google Scholar ProfileLaVOyigAAAAJ
Web of Science ID:Web of Science ProfileODP-4733-2025
Name Variants:
Oztok, Mahmut Furkan Öztok, M. F.
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  • Article
    Application of Fuzzy Logic Control for Enhanced Speed Control and Efficiency in PMSM Drives Using FOC and SVPWM
    (IOP Publishing Ltd, 2025-07-01) Oztok, Mahmut Furkan; Dursun, Emre Hasan
    PMSMs (Permanent Magnet Synchronous Motors) are favored in industrial systems requiring fast dynamic response and precision, thanks to their high efficiency and torque-to-inertia ratio. To fully leverage these motors, advanced control techniques like Field-Oriented Control (FOC) are essential, as they decouple torque and flux. However, traditional FOC systems often use PI controllers, which suffer from limited adaptability and challenging tuning processes, especially in applications demanding quick responses. To overcome these limitations, the study compared fuzzy logic-based speed control strategies. Three control structures were modelled in MATLAB/Simulink, integrating SVPWM for enhanced performance: traditional FOC with PI controller, FOC with single-input Fuzzy Logic Controller (FLC), and FOC with two-input FLC (FLC2). The simulation results clearly demonstrated FLC2's superior performance, achieving only 0.53% overshoot and a 0.08-second settling time. Quantitative metrics like IAE, ITAE, and ISE further validated FLC2's superiority over conventional control structures. These findings prove that, particularly the two-input FLC, offers a robust and high-performance alternative to traditional PI control in industrial automation, electric vehicles, and energy-efficient motor applications. With its simplicity, adaptability, and improved control performance, FLCs can play a significant role in next-generation smart motor drive technologies.
  • Article
    Comparative Analysis of Conventional and Modern Control Techniques in PMSM Systems
    (2026) Öztok, Mahmut Furkan; Dursun, Emre Hasan
    Permanent Magnet Synchronous Motors (PMSMs) are indispensable components of modern industrial systems, electric vehicles and renewable energy infrastructures due to their high efficiency, power density, wide speed range and superior torque to inertia ratio. However, maximizing the dynamic performance and energy efficiency of these machines requires advanced control strategies that offer robust stability against variable loads, parameter uncertainties and external disturbances. Furthermore, the inherent nonlinearities of PMSMs, such as magnetic saturation and cross-coupling effects, complicate the design of precise tracking controllers. To address this, this study provides a comprehensive theoretical review of both fundamental and contemporary control techniques for PMSMs. Conventional methods, including Scalar Control (V/f), Field-Oriented Control (FOC) and Direct Torque Control (DTC), are systematically classified alongside recent adaptive, intelligent and robust control approaches. These methodologies are comparatively evaluated based on critical performance criteria, including dynamic response, torque ripple mitigation, computational burden, implementation complexity and parameter sensitivity. By synthesizing these existing frameworks, this research establishes a solid theoretical foundation for future control strategy development, ultimately guiding researchers in designing high-performance, next-generation motor drive architectures.

Research Topics

Domains
Physical Sciences
Fields
EngineeringComputer Science
Subfields
Electrical and Electronic EngineeringArtificial IntelligenceControl and Systems EngineeringMechanical Engineering
Specific Research Areas
Sensorless Control of Electric Motors
Fuzzy Logic and Control Systems
Advanced Control Systems Design
Iterative Learning Control Systems
Control Systems in Engineering

Sustainable Development Goals

AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
Research Products
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Konya Technical University 2
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Physica Scripta1
The Eurasia Proceedings of Science Technology Engineering and Mathematics1
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