An analytical determination of the torque-speed and efficiency-speed characteristics of a BLDC motor

Marković, Miroslav; Hodder, A.; Perriard, Yves

doi:10.1109/ecce.2009.5316437

Cited by 15 publications

(15 citation statements)

References 6 publications

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“…From numerical simulations, the method 1 of ARGA, which not only accurately search for parameters but also has small generation number in quick convergence, is the best method to identify parameters, and is also applied to the experimental identification. In order to obtain experimental results, 0 90 V V = , 1 7(a). It is seen the rotation speeds of the induction motor obtained from LabVIEW are low before 10 sec, and the induction is unstable during this interval.…”

Section: Comparisons Between the Experimental And Identified Resultsmentioning

confidence: 99%

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Adaptive Real-Coded Genetic Algorithm for Identifying Motor Systems

Fung¹,

Lin²

2015

MME

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In this paper, the main objective is to identify the parameters of motors, which includes a brushless direct current (BLDC) motor and an induction motor. The motor systems are dynamically formulated by the mechanical and electrical equations. The real-coded genetic algorithm (RGA) is adopted to identify all parameters of motors, and the standard genetic algorithm (SRGA) and various adaptive genetic algorithm (ARGAs) are compared in the rotational angular speeds and fitness values, which are the inverse of square differences of angular speeds. From numerical simulations and experimental results, it is found that the SRGA and ARGA are feasible, the ARGA can effectively solve the problems with slow convergent speed and premature phenomenon, and is more accurate in identifying system's parameters than the SRGA. From the comparisons of the ARGAs in identifying parameters of motors, the best ARGA method is obtained and could be applied to any other mechatronic systems.

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Section: Comparisons Between the Experimental And Identified Resultsmentioning

confidence: 99%

“…The mechanical commutator of the brushless direct current (BLDC) motor [1] is replaced by electronic switches, which supply current to the motor windings as a function of the rotor position. A BLDC motor is one of the permanent magnetic synchronous motors, and has advantages of simple structure, product easily, and low cost [2].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Real-Coded Genetic Algorithm for Identifying Motor Systems

Fung¹,

Lin²

2015

MME

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“…These researches only focus the torque ripple without analyzing the change of the speed-torque characteristic. The torque-speed characteristic is analyzed in a BLDCM with sinusoidal back EMF in [4]. In [5], ignoring the commutation transient period, the mechanical characteristic is the same as a brushed DC motor.…”

Section: Introductionmentioning

confidence: 99%

Analysis and optimization on characteristics of brushless DC motors based on overlapping commutation

Hongsheng

Liu

2014

2014 17th International Conference on Electrical Machines and Systems (ICEMS)

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“…(7,10), and (13) can be transformed into Laplace domain with the Differentiation Theorem, which can then be expressed in the form of state-space equations giving a multiple-input-multiple-output (MIMO) correlation which is crucial in computer simulation. State space equations of the brushless DC motor are…”

Section: Mathematics Of the Brushless DC Motormentioning

confidence: 99%

“…Instantaneous torque was calculated by multiplying the torque constant with DC link current with the aid of lineto-line back EMF shape function in [8,9]. Reference [10] derived an analytical equation from classical synchronous motor theory which correlated electromagnetic torque with motor speed. The equation required information such as back EMF constant, phase resistance and inductance, motor speed and DC source voltage to describe electromagnetic torque.…”

Section: Introductionmentioning

confidence: 99%

Brushless DC Motor Electromagnetic Torque Estimation with Single-Phase Current Sensing

Cham¹,

Samad²

2014

Journal of Electrical Engineering and Technology

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-The purpose of this paper was to find an effective method for measuring electromagnetic torque produced by a brushless DC motor with single-phase current sensing in real-time. A torque equation is derived from the theory of brushless DC motor. This equation is then validated experimentally with a motor dynamometer. A computer algorithm is also proposed to implement the electromagnetic torque estimation equation in real-time. Electromagnetic torque is a linear function of phase current. Estimating the electromagnetic torque in real-time using single-phase current is not appropriate with existing equations, however, because of the rectangular alternating-pulse nature of the excitation current. With some mathematical manipulation to the existing equations, the equation derived in this paper overcame this limitation. The equation developed is simple and so it is computationally efficient, and it takes only motor torque constant and single-phase current to evaluate the electromagnetic torque; no other parameters such as winding resistances, inductances are needed. The equation derived is limited to the three-phase brushless DC motor. It can, however, easily be extended to the multiphase brushless DC motor with the technique described in this paper.

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An analytical determination of the torque-speed and efficiency-speed characteristics of a BLDC motor

Cited by 15 publications

References 6 publications

Adaptive Real-Coded Genetic Algorithm for Identifying Motor Systems

Adaptive Real-Coded Genetic Algorithm for Identifying Motor Systems

Analysis and optimization on characteristics of brushless DC motors based on overlapping commutation

Brushless DC Motor Electromagnetic Torque Estimation with Single-Phase Current Sensing

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