A Review of Torque Ripple Reduction Design Methods for Radial Flux PM Motors

Suriano-Sánchez, Sergio I.; Ponce-Silva, Mario; Olivares-Peregrino, Víctor Hugo; León-Aldaco, Susana Estefany De

doi:10.3390/eng3040044

Cited by 14 publications

(8 citation statements)

References 91 publications

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“…The SRM torque control error can decrease by increasing the SRM phase current control precision via a deadbeat current control technique. Suriano-Sánchez et al (2022) presented that it generates an optimum control pulse that regulates the induction motor's speed using Gaussian membership functions (GMFs) and a fuzzy logic controller (FLC) is used. The torque ripples are reduced and the motor speed is regulated to choose the proper voltage vector.…”

Section: Abstract: Bldc Motor Torque Ripple Speed Regulation Techniqu...mentioning

confidence: 99%

Advances in BLDC motor control: A thorough examination of torque ripple reduction and speed regulation techniques

Batra,

Ezhilarasan,

Kumar

et al. 2024

Multidiscip. Rev.

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Applications that depend on variable speed drives have one main concern: accurate and efficient control of Brushless Direct Current (BLDC) motors. This research explores the key factors that determine the performance of BLDC motors, including torque, motor speed and flux or electromagnetic back-emf fluctuation for optimal efficiency. Although optimal circumstances need continuous torque generation in BLDC motors with trapezoidal back emf, real-world situations result in pulsing torque because of elements such as changes in the motor's manufacturing structure and design, such as slot and teeth. Because of their efficiency, dependability and precise control capabilities, BLDC motors have acquired appeal across a wide range of applications. They are inherently prone to torque ripple and need sophisticated speed management for maximum performance. Torque ripple in BLDC motors is caused by the interaction of the rotor's permanent magnets with the stator's ferromagnetic teeth, which varies in strength throughout the magnetic field and causes unpredictable torque variations. This torque ripple can have a negative impact on speed-torque characteristics, causing noise, vibrations and probable problems in sensorless drives. This study provides a thorough examination of several approaches for decreasing torque ripple. The analysis demonstrates that torque ripple in BLDC motors can be reduced by boosting the input voltage during commutation, magnifying it fourfold compared to the back emf. In addition, the research examines alternative approaches for increasing input voltages throughout the commutation time. These discoveries contribute to the progress of BLDC motor control approaches, allowing for smoother operation and greater performance in a variety of applications.

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Section: Abstract: Bldc Motor Torque Ripple Speed Regulation Techniqu...mentioning

confidence: 99%

Advances in BLDC motor control: A thorough examination of torque ripple reduction and speed regulation techniques

Batra,

Ezhilarasan,

Kumar

et al. 2024

Multidiscip. Rev.

View full text Add to dashboard Cite

show abstract

“…Flux and torque harmonics in motors are influenced by the motor design and can be mitigated by appropriate design choices [5], but often are not. When optimal motor design is not feasible for reducing harmonics, effective control techniques can provide assistance.…”

Section: Motor Harmonic Minimizationmentioning

confidence: 99%

“…This paper focuses on eliminating flux harmonics as the cause of current harmonics. Flux harmonics within the motor generate current harmonics [5], which can be detected as phase current harmonics. When the alternating phase currents are transformed into direct dq-currents in field-oriented control, harmonics cause a distortion by adding an alternating component to the direct currents.…”

Section: Introductionmentioning

confidence: 99%

Current Harmonics Minimization of Permanent Magnet Synchronous Machine Based on Iterative Learning Control and Neural Networks

Mai,

Liu,

Wagner

et al. 2023

Machines

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Electrical machines generate unwanted flux and current harmonics. Harmonics can be suppressed using various methods. In this paper, the harmonics are significantly reduced using Iterative Learning Control (ILC) and Neural Networks (NNs). The ILC can compensate for the harmonics well for operation at constant speed and current reference values. The NNs are trained with the data from the ILC and help to suppress the harmonics well even in transient operation. The simulation model is based on flux and torque maps, depending on dq-currents and the electrical angle. The maps are generated from FEM simulation of an interior permanent magnet synchronous machine (IPM) and are published with the paper. They are intended to serve other researchers for direct comparison with their own methods. Simulation results in this paper verify that by using ILC and NNs together, current harmonics in transient operation can be eliminated better than without NNs.

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“…Mechanical resonance’s excitation on the load side and speed oscillation, particularly for large-performance applications, along with acoustic noise are the major outcomes of TRs [ 7 ]. Cogging torque (CT), PM torque, and reluctance torque are measured as the sources affecting the TR [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Designing of an Enhanced Fuzzy Logic Controller of an Interior Permanent Magnet Synchronous Generator under Variable Wind Speed

Masoud

Tiwari

Gupta

2023

Sensors

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On account of active governmental stimulation operations in many countries, the residential production of electricity from renewable resources has increased considerably. Due to high efficiency and reliability, a recommended solution for residential wind energy conservation systems (WECS) is permanent magnet synchronous generators (PMSG). A higher torque ripple (TR), engendered by the contact of the stator with the rotor’s magnetomotive force harmonics, is one foremost issue in PMSGs. To control the synchronous generator, numerous control schemes have been proposed. However, it still faces a challenge in the diminishment of the TR. An enhanced fuzzy logic controller (EFLC) in interior PMSG (IPSMG) under variable wind speed (WS) has been proposed in this article to address this challenge. Initially, the wind turbine (WT) system was designed, and the IPMSG was proposed. A hysteresis controller (HC) and fuzzy logic controller (FLC) are the two controller types utilized in this model to control TR. This methodology used the EFLC to eliminate errors during the control. By using the proper membership function (MF) for boundary selection in the WDCSO algorithm, an enhancement was executed. Better performance in TR reduction was attained by the proposed model grounded in the analysis.

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A Review of Torque Ripple Reduction Design Methods for Radial Flux PM Motors

Cited by 14 publications

References 91 publications

Advances in BLDC motor control: A thorough examination of torque ripple reduction and speed regulation techniques

Advances in BLDC motor control: A thorough examination of torque ripple reduction and speed regulation techniques

Current Harmonics Minimization of Permanent Magnet Synchronous Machine Based on Iterative Learning Control and Neural Networks

Designing of an Enhanced Fuzzy Logic Controller of an Interior Permanent Magnet Synchronous Generator under Variable Wind Speed

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