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

Vinida, K.; Chacko, Mariamma

doi:10.11591/ijpeds.v9.i3.pp1166-1177

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…A simulation has been carried out to study the four quadrant operation of the motor and also the proposed speed controller has been compared with PI controller and the performance parameters are analyzed [24], [25]. A study of the motor performance has also been carried out by the authors with the motor on no load condition and the results are discussed in detail [26].…”

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

Self Cite

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Intelligent Control Strategies Implemented in Trajectory Tracking of Underwater Vehicles

Varghese

Mary

2022

Intelligent Sustainable Systems

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A Proposed Controller for an Autonomous Vehicles Embedded System

Eso

El-Ssebah

Syam

et al. 2023

Wseas Transactions on Circuits and Systems

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Many research have observable development in the automated vehicle driving field during the last few decades. This research proposed a simple optimum Intelligent PID (SO PID) controller to simplify the automated vehicle motion control. Control of an autonomous vehicle’s steering routines plays an essential key role. Several steering control procedures are proposed that improve automated vehicle performance. The design of secure embedded control systems must overcome the difficulties associated with designing both computing and control systems. Also, this research introduces a model of the autonomous car prototype controlled via an Arduino microcontroller board and the GPS Module to receive the car coordinates. The car moves safely, and autonomously consequently avoiding the risk of human faults. Several algorithms such as angle and distance calculations to the waypoint and obstacle detection are combined to control the car movement.

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

Cited by 3 publications

References 27 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

Intelligent Control Strategies Implemented in Trajectory Tracking of Underwater Vehicles

A Proposed Controller for an Autonomous Vehicles Embedded System

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