Position Sensorless Control Without Phase Shifter for High-Speed BLDC Motors With Low Inductance and Nonideal Back EMF

Li, Wenzhuo; Fang, Jiancheng; Li, Haitao; Tang, Jian

doi:10.1109/tpel.2015.2413593

Cited by 80 publications

(38 citation statements)

References 36 publications

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“…The EC-25 BLDC motor which was manufactured by Maxon motor company was used in the simulation. The parameters of bearing, flywheel and environment are given as follows: J = 0.00425 kgm 2 ; µ = 1.935×10 −5 kg/ms; k f = 1; ρ a =0.001 kg/m 3 The change of the load torque was computed according to the reference speed of the system which is shown in Fig. 10(a).…”

Section: Simulationmentioning

confidence: 99%

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A Method for Current Control of the Flywheel Energy Storage System Used in Satellites

Çelikel

Özdemir

2019

Teh. vjesn.

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Satellites have a dark region and a bright region in their orbit path. The flywheel energy storage unit is an electric energy provider for a satellite in the dark region. Brushless dc motors (BLDC) are used in the flywheel energy storage unit. The current surge of the BLDC motors is an undesirable situation for solar panels which are used in the satellite motion systems and satellite power systems. Therefore, the current reference method (CRM) is preferred in these systems. The setting of the controller parameters (proportional (P), integral (I) and derivative (D)) is an important problem for the control of the BLDC motor current. Optimum performance cannot be obtained by the calculation of PID parameters using conventional methods. In recent years, hybrid genetic algorithms (GA) are used in the solution of complex problems. In this study, a CRM method was proposed to protect the satellite power system and solar panels. The defined block diagram for the CRM method was used to control the current of the BLDC. In order to calculate conventional method and hybrid GA-based method, the performance of the PID controllers was compared by using MATLAB/SimPowerSystem blocks.

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Section: Simulationmentioning

confidence: 99%

“…The flywheel energy storage system is used in many industrial applications such as wind farm, moment control gyroscope, transport/hybrid vehicles, compressor, and Uninterruptible Power Supply (UPS) [1][2][3][4]. The satellites complete the orbit consisting of bright and dark regions in ninety minutes.…”

Section: Introductionmentioning

confidence: 99%

A Method for Current Control of the Flywheel Energy Storage System Used in Satellites

Çelikel

Özdemir

2019

Teh. vjesn.

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“…Sensorless control for brushless DC monor based on the line-to-line back-EMF is proposed in paper [10]. In works [11][12] methods of compensation of an error of determination of the moments of switching of windings taking into account not ideality of back-EMF of rotation are offered. Methods based on the analysis of the back-EMF of rotation have the disadvantage, namely, the back-EMF of rotation depends on speed of rotation of the rotor, which complicates the determination of the moments of switching in a wide range of speeds of rotation of the rotor.…”

Section: Introductionmentioning

confidence: 99%

Sensorless control of commutation winding low-power brushless DC motor based on the use of back-EMF

Enin¹,

Stepanov²

2019

Instrumentation Engineering, Electronics and Telecommunications

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The method of sensorless control of switching of windings of three-section BLDC motor with permanent magnets based on calculation of back-EMF of rotation is proposed. After converting the equations of the three-section BLDC motor to a two-phase system, the switching moments of the windings are determined. Switching moments are calculated using a function representing the ratio of back-EMF rotations computed for a two-phase system. In these moments back-EMF of the turned off and turned on sections are equal. Using this function, signals are generated to control the transistors of inverter. We consider a BLDC motor with a trapezoidal back-EMF of rotation, which is approximated by a piecewise linear function and an inscribed ellipse. Modeling of three-section BLDC using the proposed method of sensorless control of switching windings confirmed the effectiveness of the method and the possibility of its use in a wide range of rotor speeds.

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“…Li et al 11 have presented a method for position sensorless control of high-speed BLDC motors with low inductance and non-ideal back electromotive force (EMF) in order to improve the reliability of the motor system of a magnetically suspended control moment gyro (MSCMG) for space application. Das et al 12 have established a utilization of renewable energy sources has been emphasized in high-raised buildings, where DC micro-grid.…”

Section: Introductionmentioning

confidence: 99%

Hybrid control technique for minimizing the torque ripple of brushless direct current motor

Prathibanandhi

Ramesh

2018

Measurement and Control

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This paper presented the brushless direct current motor torque ripple reduction based on the speed and torque control using hybrid technique. The dynamic behavior of the brushless direct current motor is analyzed in terms of the parameters such as the speed, current, back electromotive force and torque. Based on the parameters, the motor speed is controlled and minimized the torque ripples. For controlling the speed of the brushless direct current motor is utilized the fractional-order proportional-integral-derivative controller for generating the optimal control pulses. With the use of fractional-order proportional-integral-derivative controller, the optimal gain parameters are needed to reduce the torque ripples and control the speed of brushless direct current motor. By utilizing the hybrid technique, the gain parameters are utilized to analyze the optimal gain parameters of fractional-order proportional-integralderivative controller. The hybrid technique is the combination of adaptive neuro-fuzzy inference system with firefly algorithm. The proposed strategy is simple in structure and robust to reduce the complexities of the mathematical computations. Initially, the nature inspired optimization algorithm of firefly algorithm is analyzed for finding the error function. In addition, the efficient adaptive neuro-fuzzy inference system controller which becomes an integrated method of approach is performed to control the error functions in order to yields excellent optimized gain values. After that, the control signals are applied to the input of voltage source converter of brushless direct current motor. With this control strategy, the harmonics and torque ripples are minimized. Based on the proposed control strategy, the speed and torque performance is analyzed. The effectiveness of the proposed technique is implemented in MATLAB/Simulink platform and evaluates their performance. The performance analysis of the proposed method is demonstrated and contrasted with the existing techniques such as bat algorithm, particle swarm optimization algorithm and ant-lion optimizer algorithm with fractional-order proportional-integral-derivative controller techniques. KeywordsBrushless direct current motor, torque ripple minimization, speed and torque control, pulse-width modulation, fractional-order proportional-integral-derivative controller, adaptive neuro-fuzzy inference system, firefly algorithm Date

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Position Sensorless Control Without Phase Shifter for High-Speed BLDC Motors With Low Inductance and Nonideal Back EMF

Cited by 80 publications

References 36 publications

A Method for Current Control of the Flywheel Energy Storage System Used in Satellites

A Method for Current Control of the Flywheel Energy Storage System Used in Satellites

Sensorless control of commutation winding low-power brushless DC motor based on the use of back-EMF

Hybrid control technique for minimizing the torque ripple of brushless direct current motor

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