Identifying dynamic model parameters of a BLDC motor

Kapun, A.; Čurkovič, Milan; Hace, A.; Jezernik, K.

doi:10.1016/j.simpat.2008.06.003

Cited by 37 publications

(33 citation statements)

References 14 publications

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“…In addition, the absence of brushes and collectors has substantially eliminated the disadvantage of permanent care. Because of these, DC motors are preferred in many applications [1,[3][4]. The mathematical expression of PMDC motor equivalent circuit showed in Fig.…”

Section: Dynamic Model Of Pmdc Motormentioning

confidence: 99%

“…Especially, the PMDC motors without brushless find more usage areas day by day in applications like automotive, space technologies, computer, medical electronics, military, robotics, electrical vehicles and products because of their such superiorities as high moment/current and moment/inactivity rate, strong structure, high performance, permanent control features and reliability [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effective and Reliable Speed Control of Permanent Magnet DC (PMDC) Motor under Variable Loads

Tuna¹,

Fidan²,

Kocabey³

et al. 2015

Journal of Electrical Engineering and Technology

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-This paper presents the effective and reliable speed control of PMDC motors under variable loads and reference speeds. As is known DC motors are more preferred in industrial practices. This is that, the PMDC motors don't require brush and commutator care and to increase in torque per motor depending on developments in power electronics. In this study, proportional-integral controller (PI) and fuzzy logic controller (FL) have been designed for speed control of PMDC motor. In the design of these controllers, characteristics such as minimum overrun time, response time to the load, settling time and ideal rise time have been taken into consideration for better stability performance. In this design, the best system response was searched by examining the effect of different defuzzification methods onto the fuzzy logic system response. In conclusion, it has been seen that FL controller has a better performance for variable speed-load control of PMDC motor compared to PI controller.

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Section: Dynamic Model Of Pmdc Motormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effective and Reliable Speed Control of Permanent Magnet DC (PMDC) Motor under Variable Loads

Tuna¹,

Fidan²,

Kocabey³

et al. 2015

Journal of Electrical Engineering and Technology

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show abstract

“…Both models cover only the case of linear time invariant systems which is not the case of BLDC PM motors. The classical way [1], [2] of analyzing the behavior of the BLDC PM motor is to consider its three voltage phases, in the matrix form also known as stationary reference frame abc:…”

Section: Mathematical Modelling Of Bldc Pm Motormentioning

confidence: 99%

Efficient implementation of sliding mode control for BLDC PM motor using TMS320F28335 microcontroller

Dobra

Sita

Dobra

2014

2014 6th European Embedded Design in Education and Research Conference (EDERC)

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The sliding mode control (SMC) approach is reconsidered for the three phase brushless direct current motor with permanent magnets (BLDC PM). For mathematically matching the SMC to BLDC PM, brief discussion is also made on the mathematical modelling of the BLDC PM motor. The speed control loop for electric drive with BLDC PM is tested especially for load torque variation that will be assumed as additive uncertainty. The loop control implementation uses the TMS320F28335 microcontroller with special processing facilities for electric drive signals. The final target is to validate a fast procedure of setting up the speed/position control loop with a simple starting SMC algorithm. Test results using different valued parameters of the proposed SMC support the rapid prototyping procedure.

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“…[1][2][3] However, a growing number of applications rely on BLDC motors, which has increased concerns over its reliability and safety. Long-term BLDC motor operation generally degrades structure and component performance and sets off a series of chain reactions, which result in safety hazards in the motors and their application systems.…”

Section: Introductionmentioning

confidence: 99%

Research on the safety assessment of the brushless DC motor based on the gray model

Xuan

Wang

et al. 2017

Advances in Mechanical Engineering

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The brushless DC motor experiences operating safety problems due to the deterioration of its components following long-term operations, which are easily overlooked. To resolve these problems, failure mode, effects, and criticality analysis is utilized to characterize potential hazards in the motors. Hilbert-Huang transform is then employed to obtain the frequency-domain energy values of the vibration signals, which is defined as characteristic values that represent the performance degradation state. Second, gray model is selected to analyze the frequency-domain energy values and establish differential equations to predict the future vibration status, thereby achieving the vibration-based fault prediction. Furthermore, a gray safety assessment model is proposed to implement the safety assessment for the motor. The fault prediction and gray safety assessment are carried out based on historical data obtained from the brushless DC motor vibration experiment. The accuracy level of the gray model predictions is classified as Wonderful, thereby demonstrating the efficiency of gray model for the fault prediction. In addition, as low as reasonably practicable law is chosen to classify risk levels and formulate safety strategies in accordance with the results of safety assessment. Finally, the proposed safety effects of the methods and strategies are evaluated for microscopic and macroscopic levels.

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Identifying dynamic model parameters of a BLDC motor

Cited by 37 publications

References 14 publications

Effective and Reliable Speed Control of Permanent Magnet DC (PMDC) Motor under Variable Loads

Effective and Reliable Speed Control of Permanent Magnet DC (PMDC) Motor under Variable Loads

Efficient implementation of sliding mode control for BLDC PM motor using TMS320F28335 microcontroller

Research on the safety assessment of the brushless DC motor based on the gray model

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