Concurrent PI Controller Design for Indirect Vector Controlled Induction Motor

Jain, Jitendra; Ghosh, Sandip; Maity, Somnath

doi:10.1002/asjc.1911

Cited by 18 publications

(9 citation statements)

References 36 publications

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“…In Ref. 46, a concurrent PI control for speed regulation of the induction motor was presented. Nonlinear passivity‐based control with high dynamic performance for induction motors has been recently proposed in Ref.…”

Section: Simulation Resultsmentioning

confidence: 99%

A harmonic vibration suppression approach in nonlinear induction motors

Beltrán-Carbajal

2020

Int Trans Electr Energ Syst

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Summary In this paper, the harmonic mechanical vibration attenuation problem in controlled nonlinear induction motors is considered. A new active vibration control method for both desired motion reference trajectory tracking and suppression of harmful harmonic load torque vibrations on three‐phase nonlinear squirrel‐cage induction motors is proposed. It is demonstrated that virtual dynamic vibration absorbers can be embedded into control reference signals to neutralize harmonic torque vibrations. Efficient tracking of smooth reference trajectories for angular velocity and magnetic flux can be thus performed without significant oscillations. An effective and fast estimator for unavailable magnetic flux signals on the rotor is introduced. To highlight the vibration attenuation capability of the proposed tracking control scheme based on virtual dynamic absorbers, a comparative analysis with passivity‐based control is presented. Analytical and numerical results prove the robustness and efficiency of the dynamic tracking control method on multi‐input multi‐output large‐capacity nonlinear induction motors subjected to undesirable forced vibrations.

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Section: Simulation Resultsmentioning

confidence: 99%

A harmonic vibration suppression approach in nonlinear induction motors

Beltrán-Carbajal

2020

Int Trans Electr Energ Syst

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“…The unstructured H ∞ robust control applied to an induction motor is presented in [5] and further works considered gain scheduling and current controller [6], [7]. Recent approaches seeks to improve the performance of structured controller using the linear matrix inequalities for optimization [8], [9]. These approaches present a better tuning procedures to achieve the robustness in performance and stability and guaranteed the user requirements.…”

Section: Introductionmentioning

confidence: 99%

Structured and Unstructured Robust Control for an Induction Motor

Espinoza-Quispe¹,

Cutipa-Luque²,

Espinoza³

et al. 2021

IJACSA

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The indirect field-oriented control approaches for induction motors have recently gained more attention due to its use in trend areas, such as electromobility, electric vehicles, electric ships, and unmanned vehicles. This work studies the performance of two advanced control synthesized by the H∞ norm as an alternative to the classical Proportional-Integral and Derivative controller. It will be assessed in terms of the performance against disturbance variations in the reference speed in the nominal conditions. The tuning of the parameters of these controllers must be defined of the stability and performance of the system and to increase their operation range frequency. An algorithm is proposed to reach a better shape of weighting functions. A numerical simulation will be shown where the advances in structured advanced controller synthesis with unstructured H∞ controller is still the good election for the induction motor control. Unstructured controller approach shows still good robustness in performance and stability compared with the structured controller. Constraints imposed in structured controller is the main disadvantage to improve its robustness properties. However, compared with a conventional PID approach, the structured controller has shown quite good performance and can become in one of the most attractive approaches for practitioners.

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“…High ripples and current harmonics diminish the performance of a controlled induction motor [12]. In this sense, important advanced control strategies have been successfully implemented on induction motors using well‐known voltage source inverters (see [9,12,27] and references therein). Speed control of induction motors based on radial basis function neuronal networks has been presented in [9].…”

Section: Introductionmentioning

confidence: 99%

“…An insulated gate bipolar transistor (IGBT) inverter of Semikron is used for control implementations in [12]. Similarly, a concurrent PI control technique for speed regulation of a 2.95‐hp induction motor is implemented using a Semikron voltage source inverter in [27]. Passivity‐based controllers combined with online algebraic estimation of system parameters and mechanical torque have been also implemented by the authors for asymptotic power regulation of an induction machine [28].…”

Section: Introductionmentioning

confidence: 99%

Adaptive neuronal induction motor control with an 84‐pulse voltage source converter

Beltrán-Carbajal

Tapia‐Olvera

Valderrabano‐Gonzalez

et al. 2020

Asian Journal of Control

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This paper deals with the problem of harmonic distortion in velocity control drives for large horsepower three-phase induction motors. A new solution alternative to considerably reduce harmonic distortion in controlled large-capacity induction motors is introduced. An adaptive neural velocity reference trajectory tracking control scheme based on an 84-pulse voltage source converter for large horsepower three-phase induction motors is proposed. Desired flux modulus control is simultaneously performed. Adaptive controller parameters are adjustable online using B-spline artificial neural networks. Variable load torque of the handled mechanical dynamic system is assumed to be uncertain. Real-time estimations or measurements of dynamic load torque are unnecessary. Bézier curves are used for desired smooth motion planning to take a large induction motor from its starting towards an operating velocity. Moreover, motion planning is exploited for evasion of harmful mechanical oscillations as well as large peak values of voltages and currents. Closed-loop efficient velocity profile tracking is confirmed on a 500-hp induction motor. Comparisons with 6-pulse and 12-pulse conventional voltage source converters are also included to highlight the superior energy efficiency of the proposed 84-pulse ac motor drive. A very low total harmonic distortion of the multiple-pulse reconstructed three-phase control voltage signals is also proved. Analytical and numerical results prove the effectiveness and efficiency of the introduced 84-pulse adaptive neuronal dynamic tracking control strategy.

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Concurrent PI Controller Design for Indirect Vector Controlled Induction Motor

Cited by 18 publications

References 36 publications

A harmonic vibration suppression approach in nonlinear induction motors

A harmonic vibration suppression approach in nonlinear induction motors

Structured and Unstructured Robust Control for an Induction Motor

Adaptive neuronal induction motor control with an 84‐pulse voltage source converter

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