Direct instantaneous torque control of Brushless DC motor using firefly Algorithm based fractional order PID controller

Kommula, Bapayya Naidu; Kota, Venkata Reddy

doi:10.1016/j.jksues.2018.04.007

Cited by 55 publications

(28 citation statements)

References 18 publications

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“…Modeling of the Micro Turbine Generation system is carried out with FOPID controller in research paper, 87 and overall performance of the Micro Turbine Generation system has improved considerably. FOPID controller tuned by Firefly Algorithm is proposed in research paper 88 to obtain better control of speed and torque in brushless DC motor. An extensive review of fractional order PID controller is carried out in Shah and Agashe 89 while wide industrial applications of the fractional‐order PID controller are discussed in Tepljakov et al 90…”

Section: Motivation and Brief Overview Of Proposed Controllermentioning

confidence: 99%

Equilibrium optimizer tuned novel FOPID‐DN controller for automatic voltage regulator system

Paliwal

Srivastava

Pandit

2021

Int Trans Electr Energ Syst

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Summary This paper presents a novel fractional‐order PID plus derivative with filter coefficient (FOPID‐DN) controller for automatic voltage regulator (AVR) system using the MATLAB/Simulink environment. An AVR system is employed in the power system to maintain the terminal voltage at the desired level. Parameters of the proposed FOPID‐DN controller are optimally tuned by the recently developed Equilibrium Optimizer (EO) algorithm. Performance of the designed FOPID‐DN controller for an AVR system is compared with various controllers which are optimally tuned by different optimization algorithms. Comparative transient response analysis of the proposed technique has been carried out by considering vital transient response indicators like maximum overshoot, rise time, and settling time. Performance analysis of the proposed technique for an AVR system has been done by considering several input conditions. Robustness analysis of the EO algorithm tuned FOPID‐DN controller has been performed by varying the time constants of different components in an AVR system. The capability of the FOPID‐DN controller to handle nonlinearities of an AVR system has been investigated. The stability of the FOPID‐DN controlled AVR system has been analyzed. In addition, the disturbance rejection capability of the FOPID‐DN controlled AVR system has also been investigated. From the various simulation results obtained using the MATLAB/Simulink environment, it has been observed that the proposed FOPID‐DN‐based AVR system provided better performance as compared to different existing controllers.

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Section: Motivation and Brief Overview Of Proposed Controllermentioning

confidence: 99%

Equilibrium optimizer tuned novel FOPID‐DN controller for automatic voltage regulator system

Paliwal

Srivastava

Pandit

2021

Int Trans Electr Energ Syst

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“…One of the most important parameters of the permanent magnet motor in the steadystate analysis is the torque pulsation factor [37][38][39]. In the proposed mathematical model, the pulsation factor is calculated by Equation ( 13) according to [40]:…”

Section: Mathematical Model Of the Bldc Motormentioning

confidence: 99%

Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm

2021

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This paper presents the application of the cuckoo search (CS) algorithm in attempts to the minimization of the commutation torque ripple in the brushless DC motor (BLDC). The optimization algorithm was created based on the cuckoo’s reproductive behavior. The lumped-parameters mathematical model of the BLDC motor was developed. The values of self-inductances, mutual inductances, and back-electromotive force waveforms applied in the mathematical model were calculated by the use of the finite element method. The optimization algorithm was developed in Python 3.8. The CS algorithm was coupled with the static penalty function. During the optimization process, the shape of the voltage supplying the stator windings was determined to minimize the commutation torque ripple. Selected results of computer simulation are presented and discussed.

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“…The rare earth magnet material in this motor drive helps to increase the flux density in the air-gap, the motor power density, and torque-to-inertia, and thus can be operated over a wide constant power speed range. The most common type of magnet materials that have been used in PM machines are ferrites, samarium cobalt (SmCo), and neodymium-iron-boron (NdFeB) [94][95][96][97][98][99]. The working mechanism is identical to BLDC motor except the sinusoidal wave form of the back EMF.…”

Section: Permanent Magnet Synchronous Motor (Pmsm)mentioning

confidence: 99%

Status of Pure Electric Vehicle Power Train Technology and Future Prospects

Karki

Phuyal

Tuladhar

et al. 2020

ASI

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Electric vehicles (EV) are becoming more common mobility in the transportation sector in recent times. The dependence on oil as the source of energy for passenger vehicles has economic and political implications, and the crisis will take over as the oil reserves of the world diminish. As concerns of oil depletion and security of the oil supply remain as severe as ever, and faced with the consequences of climate change due to greenhouse gas emissions from the tail pipes of vehicles, the world today is increasingly looking at alternatives to traditional road transport technologies. EVs are seen as a promising green technology which could lead to the decarbonization of the passenger vehicle fleet and to independence from oil. There are possibilities of immense environmental benefits as well, as EVs have zero tail pipe emission and therefore are capable of curbing the pollution problems created by vehicle emission in an efficient way so they can extensively reduce the greenhouse gas emissions produced by the transportation sector as pure electric vehicles are the only vehicles with zero-emission potential. However, there are some major barriers for EVs to overcome before totally replacing ICE vehicles in the transportation sector and obtain appreciable market penetration. This review evaluates the technological aspects of the different power train systems of BEV technology and highlights those technological areas where important progress is expected by focusing on reviewing all the useful information and data available on EV architecture, electrical machines, optimization techniques, and its possibilities of future developments as green mobility. The challenges of different electric drive trains’ commercialization are discussed. The major objective is to provide an overall view of the current pure electric vehicle powertrain technology and possibilities of future green vehicle development to assist in future research in this sector.

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Direct instantaneous torque control of Brushless DC motor using firefly Algorithm based fractional order PID controller

Cited by 55 publications

References 18 publications

Equilibrium optimizer tuned novel FOPID‐DN controller for automatic voltage regulator system

Equilibrium optimizer tuned novel FOPID‐DN controller for automatic voltage regulator system

Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm

Status of Pure Electric Vehicle Power Train Technology and Future Prospects

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