Low-Cost High Performance Brushless DC Motor Drive for Speed Control Applications

Shanmugasundram, R.; Zakariah, K. Muhammed; Yadaiah, N.

doi:10.1109/artcom.2009.66

Cited by 16 publications

(7 citation statements)

References 6 publications

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“…The ratio of no load based on the full load friction and the inertia changes [5] from 10-20 times due to decoupling inertia for the positioning applications. The disadvantage for the conventional controllers is load disturbance and the parameter variations etc.…”

Section: Introductionmentioning

confidence: 99%

Modeling and controlling of BLDC motor based fuzzy logic

Blessy

Murugan

2014

International Conference on Information Communication and Embedded Systems (ICICES2014)

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This paper presents the modeling and controlling of a fuzzy logic controller (FLC) for achieving improved dynamic performance of the Brushless DC (BLDC) motor drive. The performance of fuzzy and the PI controller based BLDC motor drives is investigated under the different operating conditions such as change in reference speed, parameter variations and the load disturbance. BLDC motors are used in industrial control, automation and instrumentation system applications. Based on other applications the conventional controllers like P, PI and PID controllers are used in the BLDC motor drive control systems to achieve the desired level of transient and steady state responses. However, the major problem in the conventional PI controller there is some variations in the parameter and some load disturbances are occur and do not yield the better transient and the steady state responses under the operating conditions. In this paper, the modeling and controlling of fuzzy logic controller is presented its performance and it compared with the PI controller shows the error capability and usefulness of the fuzzy controller in the control applications.

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Section: Introductionmentioning

confidence: 99%

Modeling and controlling of BLDC motor based fuzzy logic

Blessy

Murugan

2014

International Conference on Information Communication and Embedded Systems (ICICES2014)

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“…A driver, which connects a motor and its control signal, is needed [1][2][3][4][5][6][7][8][9][10][11][12][13]. And the performance of the driver plays a decisive role in the quality of the whole electromechanical system [14][15][16][17]. A slight increase in transfer efficiency of a motor driver will result in a significant decrease in the heat produced by the motor driver itself, which will seriously affect the reliability of the whole electromechanical system [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…Area scaling step is 1/7 of the whole power MOSFETs. A DC motor driver [1,4,6,11,13,14,16,30,31] is used to experimentally verify the proposed digital control method. The digital adaptive segmented controller is implemented based on FPGA demo board.…”

Section: Introductionmentioning

confidence: 99%

Advanced motor driving circuit with improved transfer efficiency based on adaptive segmented control

et al. 2021

IEICE Electron. Express

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An advanced motor driving circuit based on digital sampling load and adaptive segment control of power MOSFET to realize improved transfer efficiency is presented in this paper. A digital block is employed to detect the duty cycle of PWM signal which indirectly reflects the load condition. According to the duty cycle of PWM signal, a digital segment controller is employed to perform adaptively scaling the area of the power MOSFET to ensure current capacity of the power MOSFET just meets the load requirements. The power MOSFET is divided into three segments according to area ratio of 1:2:4. Area scaling step is 1/7 of the whole power MOSFET. The adaptive segmented controller contains duty cycle detector and segment controller is implemented based on FPGA. The correctness and feasibility of the proposed method are verified by experiments of a DC motor driver.

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“…These control techniques are usually based on system model parameters. If a PID controller is used in conjunction with the pulse width modulation (PWM) technique (Miller, 1989;Kun et al, 2004;Hemanand and Rajesh, 2006;Shanmugasundram et al, 2009b) the overall efficiency and controllability can be improved and implemented using inexpensive PIC microcontrollers, digital signal processors etc. An extremely powerful artificial neural network (ANN) such as multilayer feed-forward neural networks (FFNNs) and FLCs are receiving wide attention in control applications.…”

Section: Introductionmentioning

confidence: 99%

Modeling, simulation and analysis of controllers for brushless direct current motor drives

Shanmugasundram¹,

Zakaraiah

Yadaiah

2012

Journal of Vibration and Control

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Brushless direct current (BLDC) motors are widely used in industrial, aerospace, medical, machine tools, aerospace and control applications. Nowadays they are becoming popular due to their advantages such as reduced maintenance, better speed-torque characteristics, good dynamic performance, noiseless operation, wide speed range, compact size, high torque to volume ratio, low moment of inertia and high efficiency. However, very few control techniques are available for controlling the BLDC drive systems. This paper presents a MATLAB simulation of practically realizable control techniques such as a conventional proportional-integral-derivative (PID) controller, a fuzzy controller, an adaptive artificial neural network proportional-integral-derivative (ANN-PID) controller and a pulse width modulation technique based PID controller for achieving better performance during the operating conditions. The simulation results are presented to highlight the effectiveness of these controllers such as speed of response, overshoot and steady-state error etc.

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Low-Cost High Performance Brushless DC Motor Drive for Speed Control Applications

Cited by 16 publications

References 6 publications

Modeling and controlling of BLDC motor based fuzzy logic

Modeling and controlling of BLDC motor based fuzzy logic

Advanced motor driving circuit with improved transfer efficiency based on adaptive segmented control

Modeling, simulation and analysis of controllers for brushless direct current motor drives

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