Autonomous Underwater Vehicles with Modeling and Analysis of 7-Phase BLDC Motor Drives

Song, Sang‐Hoon; Yoon, Yong‐Ho; Lee, Byoung-Kuk; Won, Chung-Yuen

doi:10.5370/jeet.2014.9.3.932

Cited by 3 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A seven phase BLDC motor for the propulsion of AUV has been functionally modelled and simulated in MATLAB/SIMULINK for studying its dynamic characteristics [7]. The analysis of electrical characteristics using Finite Element Analysis along with a comparative analysis of PI and Fuzzy controller has been done for a seven phase BLDC motor [8] 1167 is mechanically designed as a low cost thruster in AUV has been studied for its compatibility in a depth of more than 1 meter [97]. A prototype of electrical thrusters using permanent magnet BLDC motor has been designed and implemented with 2D Finite Element Method in order to optimize the speed and torque ranges, to minimize cogging torque and to maximize efficiency [10].…”

Section: Introductionmentioning

confidence: 99%

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

Vinida

Chacko

2018

IJPEDS

View full text Add to dashboard Cite

<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>

show abstract

Section: Introductionmentioning

confidence: 99%

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

Vinida

Chacko

2018

IJPEDS

View full text Add to dashboard Cite

show abstract

“…In these cases a PI or fuzzy controller could be introduced for improving the system stability [19].…”

Section: Controllermentioning

confidence: 99%

“…Eqs. (19) and (20) indicate the cut-off frequency of the first low-pass filter ( f c1 ) and PIlow-pass filter ( f c2 ), respectively, both with a voltage gain of 1. A spectral analysis through FFT has been performed for selecting both cut-off frequencies.…”

Section: Conditioning Of Motor Signalsmentioning

confidence: 99%

Sensorless Detection of Position and Speed in Brushless DC Motors using the Derivative of Terminal Phase Voltages Technique with a Simple and Versatile Motor Driver Implementation

Gamazo-Real¹,

Gil²

2015

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-The detection of position and speed in BLDC motors without using position sensors has meant many efforts for the last decades. The aim of this paper is to develop a sensorless technique for detecting the position and speed of BLDC motors, and to overcome the drawbacks of position sensorbased methods by improving the performance of traditional approaches oriented to motor phase voltage sensing. The position and speed information is obtained by computing the derivative of the terminal phase voltages regarding to a virtual neutral point. For starting-up the motor and implementing the algorithms of the detection technique, a FPGA board with a real-time processor is used. Also, a versatile hardware has been developed for driving BLDC motors through pulse width modulation (PWM) signals. Delta and wye winding motors have been considered for evaluating the performance of the designed hardware and software, and tests with and without load are performed. Experimental results for validating the detection technique were attained in the range 5-1500 rpm and 5-150 rpm under no-load and full-load conditions, respectively. Specifically, speed and position square errors lower than 3 rpm and between 10º-30º were obtained without load. In addition, the speed and position errors after full-load tests were around 1 rpm and between 10º-15º, respectively. These results provide the evidence that the developed technique allows to detect the position and speed of BLDC motors with low accuracy errors at starting-up and over a wide speed range, and reduce the influence of noise in position sensing, which suggest that it can be satisfactorily used as a reliable alternative to position sensors in precision applications.

show abstract

Constrained generalized predictive control for propulsion motor of autonomous underwater vehicle

Yao¹,

Yang²

2015

2015 International Conference on Control, Automation and Information Sciences (ICCAIS)

View full text Add to dashboard Cite

Autonomous Underwater Vehicles with Modeling and Analysis of 7-Phase BLDC Motor Drives

Cited by 3 publications

References 10 publications

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

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

Sensorless Detection of Position and Speed in Brushless DC Motors using the Derivative of Terminal Phase Voltages Technique with a Simple and Versatile Motor Driver Implementation

Constrained generalized predictive control for propulsion motor of autonomous underwater vehicle

Contact Info

Product

Resources

About