Speed control with torque ripple reduction of switched reluctance motor by many optimizing liaison technique

Saha, Nutan; Panda, Anup Kumar; Panda, Sidhartha

doi:10.1016/j.jesit.2016.12.013

Cited by 38 publications

(26 citation statements)

References 28 publications

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“…Анализ методов управления серводвигателями позволяет сделать вывод о том, что в основе таких систем лежит скалярное и векторное управление данным типом электродвигателей. Расчет отклонения фактической скорости от заданной и соответствующая коррекция ошибки может осуществляться с использованием современных методов решения данной задачи с использованием нейронных сетей, нечеткой логики и стандартной настройки с использованием двух ПИ-регуляторов [5][6][7][8][9][10][11][12][13]. Наиболее перспективным [12,14] является векторное управление с использованием датчика положения ротора, схема которого показана на рис.…”

Section: рис 5 структура электропривода с векторным управлением и дunclassified

To the question of control of servomotors of automatic welding unit designed for welding of large-sized tanks of launch vehicles

Ibatullin¹,

Gebel²,

Gudinov³

2019

OSB

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а. а. ибаТУллиН е. с. гебель В. Н. гУДиНоВ Омский государственный технический университет, г. Омск К ВоПросУ УПраВлеНия серВоДВигаТелями аВТомаТичесКой сВАРОЧНОй устАНОВКИ, ПреДНаЗНачеННой Для сВарКи КрУПНогабариТНых ёмКосТей раКеТ-НосиТелей В статье рассматривается процесс управления сервоприводами с целью регулирования скорости и обеспечения синхронного вращения валов силовых агрегатов при сварке с использованием сварочной установки сБ-2000. На основе технологического процесса сварки крупногабаритных емкостей ракет-носителей модернизированы основные силовые агрегаты. Предлагается структурное решение для управления технологическим процессом и синхронизации работы электроприводов с использованием серводвигателей. Разработаны блок-схема алгоритма и техническое решение управления сервоприводами с использованием модулей SINAMICS S120 фирмы SIEMENS. Ключевые слова: автоматизированная система управления технологическим процессом, распределенная система управления, программируемый логический контроллер, электропривод с векторным управлением, синхронный серводвигатель, преобразования Парка и Кларк.

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Section: рис 5 структура электропривода с векторным управлением и дunclassified

To the question of control of servomotors of automatic welding unit designed for welding of large-sized tanks of launch vehicles

Ibatullin¹,

Gebel²,

Gudinov³

2019

OSB

View full text Add to dashboard Cite

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“…N. Saha et.al. [15] has suggested a Hybrid Many Optimizing Liaison Gravitational Search Algorithm (Hybrid MOLGSA) technique for simultaneous control of the speed of SRM and for minimizing the torque ripple. However, the implemented technique is easy to fall into local optimum and has low solution precision for complex optimization problems.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Torque Ripple Minimization in Switch Reluctance Motor Drives: an ANFACO Based Control

Chaple¹,

Bodkhe²,

Daigavane³

2018

IJIES

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Abstract:In this paper, the torque ripples in the switched reluctance motor (SRM) is constrained by utilizing an Ant Colony Optimization and an Adaptive Neuro Fuzzy Inference System (ANFACO). The control scheme is utilized for the simultaneous control of the speed and current of the SRM which fuses two controlling loops of PI controller. The external loop is governed for speed control and the internal loops is governed for current control despite the ideal decision of the turn on and turn off switching angles. With respect to, for instance, speed, current, inductance and torque, the dynamic behavior of the SRM is examined to control the speed and current which restrict the torque ripple. The gain parameters of the PI controller are ideally made as the dataset by the ant colony optimization (ACO) algorithm. The created dataset is passed to the adaptive neuro fuzzy inference system (ANFIS) for the error prediction. By then, the proposed framework is executed in the MATLAB/Simulink working stage. The execution of the proposed method is affirmed by differentiating and the current systems like ant lion optimization (ALO), non dominating sorting search algorithm (NSGA-II) and combined moth flame optimization and genetic algorithm with recurrent neural network (CMFG-RNN) procedures.

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“…The Switched Reluctance Motor (SRM) represents a promising candidate for electric vehicle (EV) application due to its simple and robust structure, low manufacturing cost, high fault-tolerant ability, and wide speed range of operation [1][2][3][4]. Despite these features, the main blocking factors of widespread SRM drive are the significant torque ripple, vibration, and acoustic noise comparable to the conventional machines [5][6][7]. The reduction of torque ripple can be realized by improving the motor's mechanical design and using advanced control techniques [7].…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have been conducted on the optimum selection of switching angles (θ on and θ off ) of SRM drive according to several goals, such as improving the torque production, torque ripple, and electric efficiency. In [5], the control parameters were optimized in order to reduce the torque ripple and the speed error of the SRM drive. In [12], an automatic switch-on angle controller is designed by making the phase current reaches its peak at the beginning overlapping angle between the rotor and stator poles to increase the torque/current ratio.…”

Section: Introductionmentioning

confidence: 99%

Optimum Switching Angles Control of SRM for Electric Vehicle Applications

Quraan

Számel

Hamouda

2021

Period. Polytech. Elec. Eng. Comp. Sci.

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Switched Reluctance Motor (SRM) drive is being gradually used in industrial applications, including electric vehicles (EVs), due to several advantages over conventional motors. However, the nonlinear magnetic characteristics of the motor make its controller very complicated. This paper presents a simplified procedure to obtain the optimal switching angles under hysteresis current control SRM drive over a wide range of speeds. A multi-objective optimization technique is applied to determine the optimal switch on and switch off angles that achieve the optimum combination of maximum average torque with minimum torque ripple and copper loss. A searching algorithm is developed for each operating point to define the maximum average torque and the minimum torque ripple and copper losses, as they vary for different currents and motor speeds. Then the optimal values of switching angles are stored in the lookup tables to build a MATLAB model of the SRM drive system. Finally, simulation and experimental results are presented to show the validity and effectiveness of the proposed controller.

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Speed control with torque ripple reduction of switched reluctance motor by many optimizing liaison technique

Cited by 38 publications

References 28 publications

To the question of control of servomotors of automatic welding unit designed for welding of large-sized tanks of launch vehicles

To the question of control of servomotors of automatic welding unit designed for welding of large-sized tanks of launch vehicles

Torque Ripple Minimization in Switch Reluctance Motor Drives: an ANFACO Based Control

Optimum Switching Angles Control of SRM for Electric Vehicle Applications

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