Speed Control of Induction Motor Using H∞ Linear Parameter Varying Controller

Pohl, Lukas; Veselý, I.

doi:10.1016/j.ifacol.2016.12.013

Cited by 7 publications

(6 citation statements)

References 8 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

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“…The H ∞ theory offers a reliable procedure for synthesizing a controller that optimally verifies singular value loop-shaping specifications [11][12][13][14][15][16][17]. The standard setup of the H ∞ control problem consists of finding a static or dynamic feedback controller such that the H ∞ norm (a standard quantitative measure for the size of the system uncertainty) of the closed-loop transfer function below a given positive number under the constraint that the closed-loop system is internally stable.…”

Section: Design Of the Proposed Controller Based On H ∞ Theorymentioning

confidence: 99%

“…Moreover, researchers have worked to apply the H ∞ controllers in the induction machines drives. In Reference [14], a control scheme based on the H ∞ is presented for control the speed of the induction motors. However, the control system is validated only through the simulation results.…”

Section: Introductionmentioning

confidence: 99%

Robust Speed Controller Design Using H_infinity Theory for High-Performance Sensorless Induction Motor Drives

et al. 2019

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In this paper, a robust speed control scheme for high dynamic performance sensorless induction motor drives based on the H_infinity (H) theory has been presented and analyzed. The proposed controller is robust against system parameter variations and achieves good dynamic performance. In addition, it rejects disturbances well and can minimize system noise. The H controller design has a standard form that emphasizes the selection of the weighting functions that achieve the robustness and performance goals of motor drives in a wide range of operating conditions. Moreover, for eliminating the speed encoder—which increases the cost and decreases the overall system reliability—a motor speed estimation using a Model Reference Adaptive System (MRAS) is included. The estimated speed of the motor is used as a control signal in a sensor-free field-oriented control mechanism for induction motor drives. To explore the effectiveness of the suggested robust control scheme, the performance of the control scheme with the proposed controllers at different operating conditions such as a sudden change of the speed command/load torque disturbance is compared with that when using a classical controller. Experimental and simulation results demonstrate that the presented control scheme with the H controller and MRAS speed estimator has a reasonable estimated motor speed accuracy and a good dynamic performance.

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“…Alonge et al introduced two linear extended state observers for IM to counter both internal and external disturbances, incorporating a sliding mode-based component to achieve complete robustness [6]. Pohl and Vesely applied the H ∞ technique to IM speed control, utilizing the d-q equivalent circuit of the IM for controller design [7]. Qu and Zhao addressed denial-of-service attacks through an acknowledgment mechanism, devising an H ∞ controller for type-2 fuzzy systems under such attacks [8].…”

Section: Introduction 1the Contex Of Researchmentioning

confidence: 99%

Fractional Order Weighted Mixed Sensitivity-Based Robust Controller Design and Application for a Nonlinear System

Ilten

2023

Fractal Fract

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This paper focuses on fractional-order modeling and the design of a robust speed controller for a nonlinear system. An induction motor (IM), widely used in Electrical Vehicles (EVs), is preferred in this study as a well-known nonlinear system. The major challenge in designing a robust speed controller for IM is the insufficiency of the machine model due to inherent machine dynamics. Fractional calculus is employed to model the IM using the small-signal method, accounting for model uncertainties. In this context, experimental data is approximated using a fractional-order small-signal transfer function. Consequently, a mixed sensitivity problem is formulated with fractional-order weighting functions. The primary advantage of these weighting functions is their greater flexibility in solving the mixed sensitivity problem by involving more coefficients. Hereby, three robust speed controllers are designed using the PID toolkit of the Matlab program and solving the H∞ mixed sensitivity problem, respectively. The novelty and contribution of the proposed method lie in maintaining the closed-loop response within a secure margin determined by fractional weighting functions while addressing the controller design. After evaluating the robust speed controllers with Bode diagrams, it is proven that all the designed controllers meet the desired nominal performance and robustness criteria. Subsequently, real-time implementations of the designed controllers are performed using the dsPIC microcontroller unit. Experimental results confirm that the designed H∞-based fractional-order proportional-integral-derivative (FOPID) controller performs well in terms of tracking dynamics, exhibits robustness against load disturbances, and effectively suppresses sensor noise compared to the robust PID and fixed-structured H∞ controller.

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Speed Control of Induction Motor Using H∞ Linear Parameter Varying Controller

Cited by 7 publications

References 8 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

Robust Speed Controller Design Using H_infinity Theory for High-Performance Sensorless Induction Motor Drives

Fractional Order Weighted Mixed Sensitivity-Based Robust Controller Design and Application for a Nonlinear System

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