Simulation and analysis of brushless DC motor drives using hysteresis, ramp comparison and predictive current control techniques

Faiz, Jawad; Azizian, Mohammad Reza; Aboulghasemian-Azami, M

doi:10.1016/0928-4869(95)00014-3

Cited by 20 publications

(10 citation statements)

References 11 publications

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“…remain constant. However, and in practice, torque ripple arises due to several reasons, 7,[9][10][11] and notably phase current commutation which can be described as a major problem source for BDCM drives. As a consequence, the current should be maintained constant.…”

Section: Course Backgroundmentioning

confidence: 99%

Development of Brushless D.C. Motor Drive System for Teaching Purposes Using Various PWM Control Techniques

Tadrist

Zeroug

Boukais

2012

International Journal of Electrical Engineering & Education

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In this paper, a test bench was developed for teaching purposes to enhance power electronics and real time control of a brushless d.c. motor. Particular emphasis was placed on PWM techniques and theoretical signal generation using a MATLAB/Simulink environment and experimentally with a DSP programming kit. First, a model was developed in MATLAB/Simulink derived from electrical and mechanical equations for the 120° mode. The control strategies implemented involved two PWM techniques, namely soft and hard switching. The system was built in such a way that students are able to carry out modelling and confirm their results through the test bench using these techniques. The approach used has been effective in generating student satisfaction. Improvements in student learning are evident with regard to the drive control applications, either as a variable speed drive or in embedded systems.

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Section: Course Backgroundmentioning

confidence: 99%

Development of Brushless D.C. Motor Drive System for Teaching Purposes Using Various PWM Control Techniques

Tadrist

Zeroug

Boukais

2012

International Journal of Electrical Engineering & Education

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“…Model of drive system Modern electric vehicles inevitably are reliable on several diverse electric motors such as DC motor, AC motor, PMSM, brushless DC motor(BLDC) and so on [3]. Presently, permanent magnet brush less DC motors are gaining popularity in the field of In-Wheel-Motor, and it has been widely used in the electric motorcycles and electric vehicles.…”

Section: Simulation Model Of 4wd Electiric Vehiclementioning

confidence: 99%

Simulation of performance of 4WD electric vehicle

Cao

et al. 2011

2011 IEEE 3rd International Conference on Communication Software and Networks

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4WD in-wheel drive electric vehicle is a research focus recently because it is feasible to improve stability and dynamic performance. Based on the secondary development of ADVISOR, this paper established the simulation model of 4WD electric vehicle and made the simulation of the vehicle. From the result of simulation, we can clearly find out that 4WD electric vehicles have better dynamic performance than the traditional ones. Moreover, the non-energy equalization module is acted on the power system of the vehicle which can enhance the energy performance and battery life.

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“…The learning ability, self-adapting capability, super fast computing features of artificial intelligence (AI) technology has brought a new challenge to electrical engineers who are struggling with complex, fast advancing, and interdisciplinary areas of technology. Published literatures [18][19][20][21][22][23][24][25][26][27][28][29][30] illustrate the application of AI based controllers for the speed control of DC drives.…”

Section: Introductionmentioning

confidence: 99%

Model reference controlled separately excited DC motor

George

Basu

Chiat

2009

Neural Comput & Applic

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This research article proposes the speed control of a separately excited DC motor (SEDM) in the constant torque region. The novelty of this article lies in the application of artificial neural network-based model reference controller (MRC) for the speed control of SEDM. This paper also discusses and compares the speed control systems of SEDM using PI-controlled and fuzzy logic-controlled chopper circuit with MRC. The entire system has been modeled using MATLAB 7.0/SIMULINK toolbox. It has been observed that chopper-controlled speed control system could be eliminated by the use of MRC and the performance of the proposed system is comparable with speed control system using chopper circuit.

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Simulation and analysis of brushless DC motor drives using hysteresis, ramp comparison and predictive current control techniques

Cited by 20 publications

References 11 publications

Development of Brushless D.C. Motor Drive System for Teaching Purposes Using Various PWM Control Techniques

Development of Brushless D.C. Motor Drive System for Teaching Purposes Using Various PWM Control Techniques

Simulation of performance of 4WD electric vehicle

Model reference controlled separately excited DC motor

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