Simulation of four quadrant operation &amp;#x00026; speed control of BLDC motor on MATLAB / SIMULINK

Vinatha, U; Pola, Swetha; Vittal, K. Panduranga

doi:10.1109/tencon.2008.4766449

Cited by 36 publications

(17 citation statements)

References 3 publications

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“…These hall sensors must be placed properly on stator else it may generate error signals and can damage the motor. The commutation sequence required to rotate the BLDC motor is developed by sensing the position of rotor using hall sensors and the sequence developed is different for clockwise and anticlockwise rotation [15]- [19]. A ten step commutation sequence required to rotate the motor in clock wise direction was developed as shown in table I.…”

Section: Resultsmentioning

confidence: 99%

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Poly phase BLDC motor drive with ten step commutation

Antony¹,

Varghese²,

Gopinath

2014

2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD)

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The paper presents the ten step commutation of five phase BLDC motor implemented in the platform of AT89C51 microcontroller. The Ten step commutation logic to drive the motor was developed with the information achieved from the five hall sensors embedded in the motor. These informations are used to predict the position of rotor at any instant of time and is used in the present work to determine the phase which is to be made conducting. The PWM controller for present work was implemented using analogue setup. The performance of the system was evaluated and verified that the motor rotates in clockwise and counterclockwise direction with same speed.The simulation and validation of control of BLDC motor using ten step commutation has been presented using MATLAB/SIMULINK. The hardware implementation of five phase BLDC motor drive was carried out, and the experimental results are presented.

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Section: Resultsmentioning

confidence: 99%

“…The simulation of proposed five phase BLDC motor drive operated with constant speed was carried out in MATLAB/SIMULINK [10]- [19]. The simulation model of proposed drive was developed using the equations (2) to (11).…”

Section: Mathematical Modelling Of Five Phase Bldc Motormentioning

confidence: 99%

Poly phase BLDC motor drive with ten step commutation

Antony¹,

Varghese²,

Gopinath

2014

2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD)

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“…3 [4,22,29,28]. where v k is the k th phase voltage, R k is the windings resistance, L k is the inductance windings, i k is the current through the k th phase, e k is the absolute value BEMF produced by motor, k v is the speed constant, x m is the angular speed of motor (rad/s) and f k ðh e Þ is the BEMF waveform in the k th phase in function of rotor electric position (h e Þ, which has trapezoidal form between -1 and 1 as shown in Table 2 [4,22,28,29]. The current through the windings produces a magnet field that interacts with the permanent magnet field produced by the rotor, generating a torque.…”

Section: Permanent Magnet Motormentioning

confidence: 99%

“…The current through the windings produces a magnet field that interacts with the permanent magnet field produced by the rotor, generating a torque. Many studies [4,22,28,29] have already commented that the torque resultant is proportional to the windings current and, thus, the solution of the Eq. 2 for the phase current i k enables Eqs.…”

Section: Permanent Magnet Motormentioning

confidence: 99%

Comparison between two models of BLDC motor, simulation and data acquisition

Yamashita

Silva

Santiciolli

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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Alternative propulsion motors have been studied to increase the performance/consumption ratio in vehicles. A solution is the HEVs (hybrid electric vehicles), which are becoming important to the automotive industry. The electric motor BLDC (Brushless Direct Current) has been chosen to integrate the HEVs because of its characteristics, such as silent operation and high efficiency. Therefore, the motor operating principle is important to develop studies and research in automotive industries. The aim of this study is to develop a BLDC mathematical model to obtain the physical dimensions, such as current, voltage and torque through the comparison of the simulation time between existing models in the literature and experimental tests to integrate a virtual vehicle model. Two models are studied in this article, a simple one that approximates the three phases of BDLC motor to one single phase, as in a brushed DC motor, and a model that considers all phases and their commutation. Both models are compared in terms of computational effort and accuracy of the results, and the DC motor was the one that best integrated the vehicle model. Furthermore, an experimental measurement is performed to calibrate the model and it is integrally acquired by an Arduino UNO board, an inexpensive board. All models are implemented in the software Matlab/Simulink TM where the voltage is the required input and several variables, such as phase current, speed, friction, and torque, can be the output.

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“…Quadrature encoder pulse (QEP) signals Qa and Qb are decoded through a quadrature pulse decoder to obtain the information about the exact position of the arm. The actual and set positions of the arm are compared to obtain the details of the position error, and these details are fed to the position controller [9]- [11], which is either conventional PID or fuzzy PID model. The output of the position controller gives the magnitude of reference DC link current ±Idc*, which is used within the safety range/limit; the sign indicates the direction where the motor should run.…”

Section: Position Servo Drive Of a Single-arm Robotmentioning

confidence: 99%

Intelligent Position Control of a Vertical Rotating Single Arm Robot Using BLDC Servo Drive

Manikandan¹,

Arulmozhiyal²

2016

Journal of Power Electronics

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The manufacturing sector resorts to automation to increase production and homogeneity of products during mass production, without increasing scarce, expensive, and unreliable manpower. Automation in the form of multiple robotic arms that handle materials in all directions in different stages of the process is proven to be the best way to increase production. This paper thoroughly investigates robotic single-arm movements, that is, 360° vertical rotation, with the help of a brushless DC motor, controlled by a fuzzy proportional-integral-derivative (PID) controller. This paper also deals with the design and performance of the fuzzy-based PID controller used to control vertical movement against the limited scope of conventional PID feedback controller and how the torque of the arm is affected by the fuzzy PID controller in the four quadrants to ensure constant speed and accident-free operation despite the influence of gravitational force. The design was simulated through MATLAB/SIMULINK and integrated with dSPACE DS1104-based hardware to verify the dynamic behaviors of the arm.

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Simulation of four quadrant operation & speed control of BLDC motor on MATLAB / SIMULINK

Cited by 36 publications

References 3 publications

Poly phase BLDC motor drive with ten step commutation

Poly phase BLDC motor drive with ten step commutation

Comparison between two models of BLDC motor, simulation and data acquisition

Intelligent Position Control of a Vertical Rotating Single Arm Robot Using BLDC Servo Drive

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