An optimized H infinity strategy for robust control of sensorless BLDC propulsion motor in submarines for improved maneuverability

Vinida, K.; Chacko, Mariamma

doi:10.1109/pedes.2016.7914280

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…Technological developments in electronics, propulsion systems, electric motors, control systems and information technology have a dominant role in the application of electric propulsion system technology. Several electric motors have been proposed for propulsion drives such as BLDC motors [4], induction motors [5] and synchronous motors with permanent magnets [6]. The PMSM has the advantages such as light weight, small size, , economical fuel consumption, high power density and has a good dynamic response, making it very suitable for the use of ship propulsion systems [7].…”

Section: Introductionmentioning

confidence: 99%

The Control of PMSM Motor to Drive Propeller in Ship Propulsion System

Jami'in

Rahmat

Nugroho

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Electric propulsion has advantages such as high maneuverability, good safety and reliability, being able to operate optimally with a control system. It is a future green technology which is environmentally friendly. The application of electric propulsion for ship is that the propeller is driven by using electric motor by regulating speed and/or torque. in this research, an permanent magnet synchronous motor (PMSM) is used to drive propeller of ship propulsion. The controller of proportional integral (PI) scheme is proposed to drive electric motor. The method of Ziegler Nichols stability margin tuning rule algorithm is performed to search the controller parameters. The optimal working point of propeller is determined by the cross intersection between the propeller loading curve to the coefficient of thrust curve of open water test propeller. The speed from the result of propeller working point analysis is set as control input reference. Based on the results of simulation, the proposed control of electric propulsion using PMSM motor is able to achieve the reference of speed.

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Section: Introductionmentioning

confidence: 99%

The Control of PMSM Motor to Drive Propeller in Ship Propulsion System

Jami'in

Rahmat

Nugroho

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…The authors observed that good tracking of speed and rejection of disturbances have been achieved in simulation with the coefficients of weights optimized using particle swarm optimization (PSO) algorithm for proposed controller [23]. 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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“…Particle swarm optimization (PSO) and Genetic Algorithm (GA) approach have been compared to find out the efficient one [25][26][27][28]. In order to attain robust control for BLDC motor exclusively in the presence of external disturbances such as ocean currents and wave drifts, H infinity controller with PSO optimised weights has been proposed by this author in the speed control loop and the simulation results have been discussed in detail [29][30].…”

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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An optimized H infinity strategy for robust control of sensorless BLDC propulsion motor in submarines for improved maneuverability

Cited by 8 publications

References 15 publications

The Control of PMSM Motor to Drive Propeller in Ship Propulsion System

The Control of PMSM Motor to Drive Propeller in Ship Propulsion System

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

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

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