Model Antiseptic Control Scheme to Torque Ripple Mitigation for DC-DC Converter-Based BLDC Motor Drives

Kumar, Dileep; Choudhary, Surya Deo; Tabrez, Md.; Ayob, Afida; Lipu, Molla Shahadat Hossain

doi:10.3390/en15217823

Cited by 5 publications

(5 citation statements)

References 41 publications

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“…It was observed that the PWM-ON switching offered 58.9% ripples, whereas the proposed method offered only 24.7% of the torque ripples. The PWM-ON-PWM method was able to reduce the torque ripples by 34.2%, which is a lesser result than that mentioned in [23]. The effectiveness of the proposed strategy was illustrated by simulation.…”

Section: Discussionmentioning

confidence: 85%

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Enhanced Power Factor Correction and Torque Ripple Mitigation for DC–DC Converter Based BLDC Drive

Krishnan,

Sitbon,

Vellayikot

2023

Electronics

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A novel approach to the design of power factor correction (PFC) and torque ripple minimization in a brushless direct current (BLDC) motor drive with a new pulse width modulation (PWM) technique is demonstrated. The drive was designed to have a better power factor (PF) and less torque ripple. On the other hand, the modified Zeta converter is used to enhance the power factor of the proposed system. The modified Zeta converter is operated in discontinuous inductor current mode (DICM) by using a voltage follower technique, which only needs a voltage sensor for power factor correction (PFC) operation and DC-link voltage control. The output voltage of the VSI is determined by switching patterns generated by the PWM-ON-PWM switching strategy, and it reduces the torque ripples. The proposed drive is developed and simulated in a MATLAB/Simulink environment. The power factor of 0.9999 is produced by the PFC modified zeta converter topology and the PWM-ON-PWM scheme reduce the torque ripple in the commutation region by 34.2% as compared with the PWM-ON scheme. This demonstrates the effectiveness of the suggested control method.

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Section: Discussionmentioning

confidence: 85%

“…In [22], torque ripple was effectively reduced at about 28%, where copper losses and torque pulsations were somewhat reduced by using the dq-Transformation. In [23], torque ripples due to the diode free-wheeling of the inactive phase were considered, and were suppressed by nearly 32.5% using the PWM-Model Antiseptic Control Technique.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Power Factor Correction and Torque Ripple Mitigation for DC–DC Converter Based BLDC Drive

Krishnan,

Sitbon,

Vellayikot

2023

Electronics

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“…2023. 7-19: 6-11 Introduction DC motors have wide popularity because they are very versatile in industrial (Kumar, Surya, Tabrez, Afida, & Molla Shahadat, 2022), domestic (Khan, et al, 2021), and laboratory (Said, et al, 2022) mechanical applications. In many industries, DC motors are used as elements that perform essential tasks within their processes.…”

Section: Modelado Difuso Control Motor CDmentioning

confidence: 99%

Fuzzy Modeling of DC Motors using the stimulus-response method

González-Castolo

2023

JME

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In this paper gives a brief review of the traditional modeling of direct current (DC) motors using the stimulus response method is made and a method is proposed to obtain an alternative model, using fuzzy logic theory. The two models capture the behavior of the DC motor in an acceptable manner. The connotation of acceptable is because some characteristics of the DC motor are disregarded, which do not have repercussions, in practical terms, as error factors in its study. The first model relates the analysis to the classical forms of control theory, through a first-order differential equation. The second model relates the analysis to the principles of generalization of necessary knowledge in reasoning and learning within the area of Artificial Intelligence where fuzzy sets and a series of if-then type rules are used. The fuzzy DC motor model is very convenient, within the control context, when using Artificial Intelligence paradigms but it not limited to this area.

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“…A novel model predictive control-based PWM has been developed to address diode freewheeling and commutation current ripple in BLDC motors in [8]. Through simulations, the technique has demonstrated significant reductions by 32.5% for the torque ripples which is considered a big step towards performance enhancement compared to the conventional PWM.…”

Section: Introductionmentioning

confidence: 99%

Simplified Control for Torque and Speed Ripple Mitigation in Brushless DC Motors

2024

ijSmartGrid

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Brushless DC motors are characterized by their reliability, low inertia, fast response, and low maintenance. Unlike the conventional DC machines, the BLDC uses permanent magnets in place of brushes, resulting in lower maintenance requirements. Brushless DC motors produce constant torque under ideal conditions, with a trapezoidal back electromotive force (emf). Utilizing power electronic components for commutation in brushless DC motors causes harmonics in the armature current leading to large output torque ripples. This paper proposed a simplified circuit to minimize torque and speed waveform ripples. The circuit incorporates a simple filter, PI controller, and PWM, eliminating the need for a high computational processor. This enables easy execution and reduces the control circuit's energy footprint, resulting in low running costs with a simple design. The proposed circuit was simulated using PSIM software and the results confirm the ability of the circuit to minimize the torque and speed ripples to acceptable values for real and sensitive applications.

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Model Antiseptic Control Scheme to Torque Ripple Mitigation for DC-DC Converter-Based BLDC Motor Drives

Cited by 5 publications

References 41 publications

Enhanced Power Factor Correction and Torque Ripple Mitigation for DC–DC Converter Based BLDC Drive

Enhanced Power Factor Correction and Torque Ripple Mitigation for DC–DC Converter Based BLDC Drive

Fuzzy Modeling of DC Motors using the stimulus-response method

Simplified Control for Torque and Speed Ripple Mitigation in Brushless DC Motors

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