Parameters estimation of BLDC motor based on physical approach and weighted recursive least square algorithm

Majdoubi, Rania; Masmoudi, Lhoussaine; Bakhti, Mohammed; Elharif, Abderrahmane; Jabri, Bouazza

doi:10.11591/ijece.v11i1.pp133-145

Cited by 8 publications

(2 citation statements)

References 25 publications

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“…As BLDCM is to be characterized by its trapezoidal backelectromotive force (back-EMF), this means that the mutual inductance between stator and rotor is not sinusoidal. Then, it is difficult to transform the equations specific to BLDCM to another reference frame system, for example, the park transformation frame presented by two axes direct and quadratic (d, q) [26][27][28][29].…”

Section: Machine Modeling In a Fixed Reference Frame With Respect To mentioning

confidence: 99%

Torque Control Oriented Modeling of a Brushless Direct Current Motor (BLDCM) Based on the Extended Park's Transformation

Majdoubi¹,

Masmoudi²,

Bakhti³

et al. 2021

JESA

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The wheeled mobile robots have recently become a better choice for repetitive tasks and especially in the agricultural field, but the existing constraint remains in its electrical motor, either in its consumption or its control. Therefore, we will focus on the Brushless Direct Current Motor (BLDCM) included on the robot wheels. Hence, the objective of this paper is to provide a model of BLDCM to have both maximum torque and a reduced torque ripple. Indeed, it is important to give a mathematical model that correctly represents the motor in three phases reference frame. To reduce the complexity of the model, we have used the extended park reference frame, which provides a biphasic representation in order to control the current using Proportional Integral Controller (PI Controller). The angular velocity of the motor is controlled using two types of regulators; ones called PI Controller and the other is Fuzzy Logic Controller (FLC) to compare its performance. The motor is attached to an inverter, which is controlled using a Full-Wave offset method. The modeling machine is done and validated using MATLAB Simulink Library. The simulation results of the modeling system are evaluated to have the profile of the wheel speed rotating freely, and the energetic efficiency of the BLDCM during functioning.

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Section: Machine Modeling In a Fixed Reference Frame With Respect To mentioning

confidence: 99%

Torque Control Oriented Modeling of a Brushless Direct Current Motor (BLDCM) Based on the Extended Park's Transformation

Majdoubi¹,

Masmoudi²,

Bakhti³

et al. 2021

JESA

Self Cite

View full text Add to dashboard Cite

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“…Then, Ippel et al [19] estimated the parameters recursively with stochastic gradient descent. And Majdoubi et al [22] recursively estimated the parameters based on the recursive least squares method. Thuy et al [28] provided a method consisting a deep neural network and heuristic algorithms combined with LR to boost the accuracy of attack detections in an intrusion detection system (IDS).…”

Section: Introductionmentioning

confidence: 99%

Detecting Outliers Using Modified Recursive PCA Algorithm For Dynamic Streaming Data

Dani,

Gunawan,

Khodra

et al. 2023

mendel

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Outlier analysis has been widely studied and has produced many methods. However, there is still rare a method to detect outliers for dynamically streaming batch data (online learning). In the present research, a novel online algorithm to detect outliers in such dataset is proposed. Data points are proceeded by applying a modified recursive PCA to predict sequentially parameters of the model; eigenvalues and eigenvectors of the statistical detection model are recursively updated using approximate values by perturbation methods. More specifically, the recursive eigenstructure is obtained from the derivation of the covariance matrix using the first-order perturbation technique. The Mahalanobis distance is then used as an outlier score. Our algorithm performances are evaluated using some metrics, namely accuration, precision, recall, F1-score, AUC-PR, and the execution time. Results show that the proposed online outlier detection is computationally efficient in time and the algorithm's performance effectiveness is comparable to that of the offline outlier detection algorithm via classical PCA.

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Coupled nonlinear controller for vehicle trajectory tracking in a deformable soil: Application to a four-wheeled mobile agricultural robot

Majdoubi,

Masmoudi,

Elharif

2023

Journal of Terramechanics

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Parameters estimation of BLDC motor based on physical approach and weighted recursive least square algorithm

Cited by 8 publications

References 25 publications

Torque Control Oriented Modeling of a Brushless Direct Current Motor (BLDCM) Based on the Extended Park's Transformation

Torque Control Oriented Modeling of a Brushless Direct Current Motor (BLDCM) Based on the Extended Park's Transformation

Detecting Outliers Using Modified Recursive PCA Algorithm For Dynamic Streaming Data

Coupled nonlinear controller for vehicle trajectory tracking in a deformable soil: Application to a four-wheeled mobile agricultural robot

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