Design of a High-Speed PMSM for Flywheel Systems

Boztas, Gullu; Aydoğmuş, Ömür

doi:10.1109/icpea1.2019.8911148

Cited by 9 publications

(7 citation statements)

References 23 publications

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“…The FOPID control system variable is tuned using the FLC's intelligence in this thesis. By controlling the gain levels of FOPID using fuzzy logic, the AFFOPID aims to automatically enhance the controller's overall performance [9]. Fuzzy logic control comprises three primary elements: membership functions, control rules, and control tuning parameters.…”

Section: 96mentioning

confidence: 99%

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RETRACTED: Modeling and Analysis Adaptive-Fuzzy FOPID System With Genetic Algorithm Tuned FOPID Speed Control Of PMSM For Electric Vehicle System

sime,

Aluvada,

Tolosa

et al. 2024

Preprint

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This study is based on the speed control performances of a Synchronous Motor with a Permanent Magnetic electric vehicle drive system. Due to the fast depletion of fossil resources, pollution, and issues with the global environment caused by internal combustion vehicles, it must change to a renewable energy source. Offering advantages, including high dependability, compact volume, lightweight construction, and high efficiency, PMSM is being used in EV drive systems, including high dependability, compact volume, lightweight construction, and high efficiency.PMSM is being used in EV drive systems. This kind of motor drive is among the best options for robotics and machine vision applications that require intensive motion control. Additionally, it is being researched for high-power uses including industrial drives and vehicle propulsion. The parameter FOPID controller was generally tuned by GA using an integral square Error criterion, which realizes a good dynamic behavior of the system. While maintaining good dynamic performance, a precise speed and current tracking ensure stability tolerance against parameter fluctuations and rapid load disturbance. The AFFOPID's speed response demonstrates that it outperforms FOPID and PID controllers with respect to dynamic performance.AFFOPID has less overshoot (0.03645%), rise time(0.016)and settling time (0.001495seconds)than FOPID, which has overshoot(11.798%), rise time(0.01408), and settling time(0.015335).and PID that overshoot by21.341%, rising time that was 0.014208 seconds, and settling time that was 0.01495 seconds.

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Section: 96mentioning

confidence: 99%

“…In comparison to other motor types, PMSMs may be run at higher speeds while still delivering good power density and dynamic performance. This makes them ideal for applications like electric cars, where a vehicle's overall performance is greatly impacted by its speed [9]. The use of PMSM in vehicles improve traction system performance.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Modeling and Analysis Adaptive-Fuzzy FOPID System With Genetic Algorithm Tuned FOPID Speed Control Of PMSM For Electric Vehicle System

sime,

Aluvada,

Tolosa

et al. 2024

Preprint

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show abstract

“…Then, the mathematical model is established under the three-phase static coordinate system [16,17], and the three-phase voltage is:…”

Section: Modeling Of Pmsmmentioning

confidence: 99%

Control Strategy of Flywheel Energy Storage System Based on Primary Frequency Modulation of Wind Power

Jia

Zhang

et al. 2022

Energies

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As a form of energy storage with high power and efficiency, a flywheel energy storage system performs well in the primary frequency modulation of a power grid. In this study, a three-phase permanent magnet synchronous motor was used as the drive motor of the system, and a simulation study on the control strategy of a flywheel energy storage system was conducted based on the primary frequency modulation of wind power. The speed and current double closed-loop control strategy was used in the system start-up phase, and the power and current double-closed-loop control strategy were used in the power compensation phase. The model reference adaptive control was used to accurately estimate the speed and position of the rotor. The system compensates for the wind power output by using a wind turbine in real-time and conducting simulation experiments to verify the feasibility of the charge and discharge control strategy. At the same time, it can be verified that the flywheel energy storage system has a beneficial effect on wind power frequency modulation.

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“…Recently, permanent magnet synchronous motors (PMSMs) have been widely adopted in automotive applications due to such advantages as small size, high efficiency, and easy control. To control these motors with high performance, techniques such as vector control are widely used [1][2][3][4][5]. To accomplish vector control of a PMSM, there are two required conditions to produce electromagnetic torque proportional to the q-axis current in the synchronously rotating frame aligned with the rotor position.…”

Section: Introductionmentioning

confidence: 99%

A Study on Accurate Initial Rotor Position Offset Detection for a Permanent Magnet Synchronous Motor Under a No-Load Condition

Kim

Lim

et al. 2021

IEEE Access

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This paper proposes a resolver offset calibration algorithm that can detect offset with high precision just by configuring a very simple experimental environment. This use of a simple experimental environment holds a great advantage for large-capacity permanent magnet synchronous motors (PMSMs) that require substantial resources to configure an experimental environment, such as EV traction motors. The proposed algorithm is designed based on the PMSM voltage equation. The algorithm is first verified for its validity through simulation with Simulink. Subsequently, it is implemented based on the C-language and installed on an inverter for verification experiments. The implemented algorithm is very simple and requires little execution time and memory. The error in the calibrated offset is experimentally found to converge within 3bits based on 12-bits (the resolution of the commonly used RDC), and the results have very little deviation.

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Design of a High-Speed PMSM for Flywheel Systems

Cited by 9 publications

References 23 publications

RETRACTED: Modeling and Analysis Adaptive-Fuzzy FOPID System With Genetic Algorithm Tuned FOPID Speed Control Of PMSM For Electric Vehicle System

RETRACTED: Modeling and Analysis Adaptive-Fuzzy FOPID System With Genetic Algorithm Tuned FOPID Speed Control Of PMSM For Electric Vehicle System

Control Strategy of Flywheel Energy Storage System Based on Primary Frequency Modulation of Wind Power

A Study on Accurate Initial Rotor Position Offset Detection for a Permanent Magnet Synchronous Motor Under a No-Load Condition

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