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Proceedings ArticleDOI

A study of dynamic torque ripples using an integrated simulation model of brushless DC motor and drive systems

TL;DR: The proposed integrated motor drive model is developed in MATLAB Simulink, which allows drive system designers to explore and optimize torque ripple effect in the entire design process with fast simulation time while maintaining the same accuracy compared to the nonlinear Finite-Element (FE) analysis.
Abstract: In this paper, a study of dynamic torque ripples using an integrated simulation model of Brushless DC (BLDC) motor and drive systems is presented. An accurate simulation-based model of a BLDC motor based on Phase-Variable approach considering the effect of structural saliency is described. The proposed integrated motor drive model is developed in MATLAB Simulink, which allows drive system designers to explore and optimize torque ripple effect in the entire design process with fast simulation time while maintaining the same accuracy compared to the nonlinear Finite-Element (FE) analysis. The simulation results show good agreement between the simulation-based motor model and the full static FE solution, confirm that the torque ripple effect of the BLDC motor can be accurately represented by using the integrated co-simulation Phase-Variable BLDC motor drive system.
Citations
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Proceedings ArticleDOI
01 Jul 2018
TL;DR: Both the simulation and experimental results show that the average method is useful for the analysis of characteristic in the BLDC motor.
Abstract: The torque and phase current will always changing for the reason of commutation and non-ideal back electromagnetic force of brushless DC motor. Average value of torque, current, and back electromagnetic force during conduction area are analyzed separately. Speed-torque characteristics expression is obtained based on the average value modeling. Both the simulation and experimental results show that the average method is useful for the analysis of characteristic in the BLDC motor.

1 citations


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References
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Journal ArticleDOI
TL;DR: A wide range of motor- and controller-based design techniques that have been described in the literature for minimizing the generation of cogging and ripple torques in both sinusoidal and trapezoidal PMAC motor drives are reviewed.
Abstract: Permanent magnet AC (PMAC) motor drives are finding expanded use in high-performance applications where torque smoothness is essential. This paper reviews a wide range of motor- and controller-based design techniques that have been described in the literature for minimizing the generation of cogging and ripple torques in both sinusoidal and trapezoidal PMAC motor drives. Sinusoidal PMAC drives generally show the greatest potential for pulsating torque minimization using well-known motor design techniques such as skewing and fractional slot pitch windings. In contrast, trapezoidal PMAC drives pose more difficult trade-offs in both the motor and controller design which may require compromises in drive simplicity: and cost to improve torque smoothness. Controller-based techniques for minimizing pulsating torque typically involve the use of active cancellation algorithms which depend on either accurate tuning or adaptive control schemes for effectiveness. In the end, successful suppression of pulsating torque ultimately relies on an orchestrated systems approach to all aspects of the PMAC machine and controller design which often requires a carefully selected combination of minimization techniques.

978 citations

Journal ArticleDOI
TL;DR: A novel approach to achieve ripple-free torque control with maximum efficiency based on the d-q-0 reference frame is presented and optimizes the reference phase current waveforms which include the case of three-phase unbalanced conditions.
Abstract: Torque-ripple control of the brushless DC motor has been the main issue of the servo drive systems in which the speed fluctuation, vibration, and acoustic noise should be minimized. Most methods for suppressing the torque ripples require Fourier series analysis and either iterative or least-mean-square minimization. In this paper, a novel approach to achieve ripple-free torque control with maximum efficiency based on the d-q-0 reference frame is presented. The proposed method optimizes the reference phase current waveforms which include the case of three-phase unbalanced conditions. As a result, the proposed approach provides a simple way to obtain optimal motor excitation currents. The validity and practical applications of the proposed control scheme are verified through the simulations and experimental results.

227 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a method to reduce commutation torque ripple in a position sensorless brushless dc motor drive, which measured commutation interval from the terminal voltage of a BLDC motor, and calculated a pulsewidth modulation (PWM) duty ratio using the measured commution interval to suppress the commution torque ripple, and applied to the calculated PWM duty ratio only during the next commutation.
Abstract: This paper presents a novel method to reduce commutation torque ripple in a position sensorless brushless dc (BLDC) motor drive. To compensate the commutation torque ripple considerably, conventional methods should know commutation interval, so that they need current sensors. However, the proposed method measures commutation interval from the terminal voltage of a BLDC motor, calculates a pulsewidth modulation (PWM) duty ratio using the measured commutation interval to suppress the commutation torque ripple, and applies to the calculated PWM duty ratio only during the next commutation. Experimental results verify that the proposed method implemented in an air conditioner compressor controller considerably reduces not only the pulsating currents but also vibrations of a position-sensorless BLDC motor

159 citations

Journal ArticleDOI
16 May 2005
TL;DR: A fast and accurate brushless dc motor (BLDC) phase variable model for drive system simulations that provides an accurate equivalent circuit model of BLDC motors for utilization in simulation environments is presented.
Abstract: This paper presents a fast and accurate brushless dc motor (BLDC) phase variable model for drive system simulations. The developed model was built based on nonlinear transient finite-element analysis to obtain the inductances, back electromotive force as well as the cogging torque. The model was implemented in a Simulink environment through the creation of an adjustable inductance component to account for the dependence of inductances on rotor position. Since no dq model for BLDC actually exists, the significance of this work is that it provides an accurate equivalent circuit model of BLDC motors for utilization in simulation environments. Using the developed model, the sensorless control and the torque ripple control issues were investigated and the simulation results show its practical effectiveness.

97 citations

Journal ArticleDOI
16 May 2005
TL;DR: The main characteristics of this model are that it is as accurate as the full FE model while giving fast computational results and its practical superiority in drives applications is shown.
Abstract: A physical phase variable model for permanent magnet synchronous motors is proposed. This model is initiated to pursue an accurate and fast motor model for integrated motor drive simulation. Since the full finite element (FE) model may be time consuming and the direct- and quadratic-axis (dq)-model is inaccurate, the proposed physical phase variable model eliminates these deficiencies. The proposed model is a circuit model with inductance, back electromotive force (EMF), and cogging torque calculated from nonliner transient FE solutions. The main characteristics of this model are that it is as accurate as the full FE model while giving fast computational results. The Simulink implementation of the proposed model is studied. Comparisons of the proposed model with the full FE model and the dq-model are performed. The results verify the validity of the proposed model and show its practical superiority in drives applications.

96 citations