05. Fakülteler

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Browsing 05. Fakülteler by Author "Abdullah, Q."

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    Citation - Scopus: 20
    Analysis and Investigation of Different Advanced Control Strategies for High-Performance Induction Motor Drives
    (Universitas Ahmad Dahlan, 2020) Farah, Nabil; Talib, Hairul Nizam; Ibrahim, Z.B.; Abdullah, Q.; Aydoğdu, Ömer; Rasin, Z.; Lazi, J.M.
    Induction motor (IM) drives have received a strong interest from researchers and industry particularly for high-performance AC drives through vector control method. With the advancement in power electronics and digital signal processing (DSP), high capability processors allow the implementation of advanced control techniques for motor drives such as model predictive control (MPC). In this paper, design, analysis and investigation of two different MPC techniques applied to IM drives; the model predictive torque control (MPTC) and model predictive current control (MPCC) are presented. The two techniques are designed in Matlab/Simulink environment and compared in term of operation in different operating conditions. Moreover, a comparison of these techniques with field-oriented control (FOC) and direct torque control (DTC) is conducted based on simulation studies with PI speed controller for all control techniques. Based on the analysis, the MPC techniques demonstrates a better result compared with the FOC and DTC in terms of speed, torque and current responses in transient and steady-state conditions. © (2020). All rights reserved.
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    Citation - Scopus: 5
    Fuzzy Membership Functions Tuning for Speed Controller of Induction Motor Drive: Performance Improvement
    (Institute of Advanced Engineering and Science, 2021) Farah, Nabil; Talib, Hairul Nizam; Ibrahim, Z.B.; Abdullah, Q.; Aydoğdu, Ömer; Lazi, J.M.; Isa, Z.
    Fuzzy logic controller (FLC) has gained high interest in the field of speed control of machine drives in both academic and industrial communities. This is due to the features of FLC of handling non-linearity and variations. FLC system consists of three main elements: Scaling factors (SFs), membership functions (MFs), and rule-base. Fuzzy MFs can be designed with different types and sizes. For induction motor (IM) speed control, (3x3), (5x5) and (7x7) MFs are the most used MFs sizes, and normally designed based on symmetrical distribution. However, changing the width and peak position of MFs design enhance the performance. In this paper, tuning of MFs of FLC speed control of IM drives is considered. Considering (3x3), (5x5) and (7x7) MFs sizes, the widths and peak positions of these MFs are asymmetrically distributed to improve the performance of IM drive. Based on these MFs sizes, the widths and peak positions are moved toward the origin (zero), negative and positive side that produces a controller less sensitive to the small error variations. Based on simulation and performance evaluations, improvement of 5% in settling time (Ts), 0.5% in rise time and 20% of steady-state improvement achieved with the tuned MFs compared to original MFs. © 2021 Institute of Advanced Engineering and Science. All rights reserved.