Design and Implementation of Embedded Processor Based Brushless Motor Drive using Lead Acid Battery as Source with Lithium Ion Capacitor

Shanmugam, Sathish Kumar; Ramachandran, Meenakumari

doi:10.11591/telkomnika.v14i3.7938

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…A three phase fully controlled bridge whose firing pulses are generated by Spartan-3 is used in the speed control of BLDC motor [15]. The position information equivalent to hall effect sensor is generated from the neutral point voltage calculation using TMS320C242 digital signal processor (DSP) controller [16].…”

Section: Introductionmentioning

confidence: 99%

Implementation of speed control of sensorless brushless DC motor drive using H-infinity controller with optimized weight filters

Vinida

Chacko

2021

IJPEDS

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<span>The hardware implementation of sensorless brushless direct current motor drive incorporating H-infinity control strategy with optimized weights by particle swarm optimization in the speed control is carried out in this work. The methodology involved in the design of brushless direct current (BLDC) motor control with sensorless position detection technique, the design of H-infinity speed controller, steps involved in particle swarm optimization for optimizing coefficients of its weights and the hardware implementation is discussed in detail in this paper. Texas Instruments microcontroller board C2000 Delfino Launchpad LAUNCHXL F28377S and driver BOOSTXL DRV8301 are used for realization of the speed controller. The code is developed using C2000 hardware support package in MATLAB/SIMULINK platform. A comprehensive performance analysis is accomplished during starting of the motor and during the fast application and removal of load. This strategy is found to be robust resulting in faster load disturbance rejection and better reference speed tracking. The experimental results of the proposed strategy are compared with that of conventional proportional-integral (PI) controller. The time domain parameters are also compared. It is found that the proposed strategy exhibits better performance characteristics during transients and sudden disturbances in load.</span>

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Section: Introductionmentioning

confidence: 99%

Implementation of speed control of sensorless brushless DC motor drive using H-infinity controller with optimized weight filters

Vinida

Chacko

2021

IJPEDS

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“…In the world of academy, embedded systems still attract researchers to develop such as in research [4][5][6][7][8] where using servo as the core of research conducted, research [9][10][11][12][13] where in the research used the sensor as the core From a study demonstrating the implementation of a potentiometer, in a study [14][15][16][17][18] [19][20][21] using LEDs as the core of the research undertaken [22,23] using the LCD as the core of the research undertaken. In addition to daily life, embedded systems are also used for specific purposes such as in research [24] using an embedded processor on Acid batteries as a source with Lithium Ion Capacitor.…”

Section: Introductionmentioning

confidence: 99%

Embedded System Practicum Module for Increase Student Comprehension of Microcontroller

et al. 2018

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The result of applying the embedded system in education for students is successfully applied in university. On the other side, many people in Indonesia use smart equipment's (Hand phone, Remote), but none of those equipments are used in education. University as the source of knowledge should overcome the problem by encouraging the students to use a technology with learning about it first. Embedded System Practicum Module Design needs a prototype method so that the practicum module that is desired can be made. This method is often used in real life. A prototype considered of a part of a product that expresses logic and physical of external interface that is being displayed and this method will fully depend on user contentment. Embedded System Practicum Module Design is made to increase student comprehension of embedded system course and to encourage students to innovate, so that many technologies will be developed and also to help lecturers deliver course subjects. With this practicum it is hoped that the student comprehension will increase significantly. The result of this research is a decent practicum module, hardware or software that can help students to know better about technology and the course subjects so that it will encourage the students to create an embedded system technology. The result of the test has been done; there is an increase of learning value obtained by 7.8%.

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“…For hardware implementation of speed controller, various microcontrollers have been found in the literature. PIC16F877A microcontroller has been used in the hardware implementation of speed controller of BLDC motor using PI controller [31]. A spartan-3 FPGA is used to generate the firing pulses for the MOSFETs of three phase fully controlled bridge which in turn control the speed of BLDC motor [32].…”

Section: Introductionmentioning

confidence: 99%

An Optimized Speed Controller for Electrical Thrusters in an Autonomous Underwater Vehicle

Vinida

Chacko

2018

IJPEDS

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<span lang="EN-US">This paper focuses on the development of a prototype of thruster motor speed controller which exhibits robust performance for an Autonomous underwater vehicle. H infinity based speed controller with particle swarm optimized weights for a sensorless BLDC motor which is used as electrical thruster has been simulated in MATLAB/ SIMULINK and implemented using TI C2000 Delfino LaunchPad LaunchXL-F28377S and BoostXL DRV 8301. A performance comparison in reference tracking has been done with conventional PI controller and experimental results have been discussed in detail. The percentage variation in speed with respect to reference speed of proposed strategy has been observed to be 0.65% whereas it is 1.1% with PI controller. It has also been found that the proposed control strategy exhibits smooth starting with better reference tracking and less torque ripples.</span>

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Design and Implementation of Embedded Processor Based Brushless Motor Drive using Lead Acid Battery as Source with Lithium Ion Capacitor

Cited by 5 publications

References 6 publications

Implementation of speed control of sensorless brushless DC motor drive using H-infinity controller with optimized weight filters

Implementation of speed control of sensorless brushless DC motor drive using H-infinity controller with optimized weight filters

Embedded System Practicum Module for Increase Student Comprehension of Microcontroller

An Optimized Speed Controller for Electrical Thrusters in an Autonomous Underwater Vehicle

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