Performance enhancement of sensorless induction motor drive using modified direct torque control techniques for traction application

Usha, S.; Geetha, P.; Geetha, A.; Palanisamy, R.; Thentral, T.M. Thamizh; Mahato, Bidyut; Giri, Nimay Chandra; Alharbi, Mohammed

doi:10.1016/j.aej.2024.07.095

Alexandria Engineering Journal

2024

DOI: 10.1016/j.aej.2024.07.095

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Performance enhancement of sensorless induction motor drive using modified direct torque control techniques for traction application

S. Usha,

P. Geetha,

A. Geetha

et al.

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Cited by 3 publications

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A multimodal multistream multilevel fusion network for finger joint angle estimation with hybrid sEMG and FMG sensing

Chen,

Gouda,

et al. 2025

Alexandria Engineering Journal

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A multimodal multistream multilevel fusion network for finger joint angle estimation with hybrid sEMG and FMG sensing

Chen,

Gouda,

et al. 2025

Alexandria Engineering Journal

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Model predictive control for energy efficient AC motor drives: An overview

Shahid,

Jin,

Abbasi

et al. 2024

IET Electric Power Appl

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State‐of‐the‐art model‐based predictive control techniques for AC motor drives are reviewed in this paper. A plethora of MPC algorithms with vast number of complex ideas has emerged in the last decade and this work makes an attempt to present those concepts in an intuitive, comprehensive and hierarchical manner. More emphasis is laid on finite control set model predictive control (FCS‐MPC) methods, especially predictive torque control (PTC) and predictive current control (PCC) because of their emergence as the prime focus of ongoing research in energy efficient drive control. The main focus of this review is to analyse the most recent work, signpost the future research directions, identify the core challenges and consolidate the ideas into a coherent and concise reference. A comprehensive classification based on actuation signals is presented and reviewed in detail. Then, the important challenges in MPC implementation, such as computational complexity reduction and delay compensation, weighting factor selection for multi‐objective cost functions, steady state performance and ripple reduction, parameter variations/model mismatching and achieving extended prediction horizons, are surveyed and most relevant solutions are reviewed. A detailed analysis of the last five years related work is given at the end and it is concluded that the future course seems to be diverting towards voltage vector selection with optimised phase, magnitude and duty ratios. Computational burden is still one of the main hurdle towards MPC proliferation and adaptation in AC drive control at the industrial level. However, with advent of high speed and cheaper signal processors and development of efficient algorithms, MPC is rapidly becoming the control method of choice for energy‐efficient drive control.

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Sensitivity Analysis of a Stator Current-based MRAS Estimator for Sensorless Induction Motor Drives

Zaky,

Metwaly

2024

Eng. Technol. Appl. Sci. Res.

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The sensitivity of speed estimators for parameter variations presents a significant challenge for sensorless Induction Motor (IM) drives, particularly at very low speeds. This paper examines the impact of parameter variations and the PI adaptation mechanism on the stator current-based Model Reference Adaptive System (MRAS). In contrast to the estimation of rotor flux, the MRAS method uses the observed stator current and the stator current estimate error within the adjustable IM model. The stability analysis for changes in machine parameters and PI controller gains is examined using small-signal perturbation. Additionally, a sensitivity analysis of stator and rotor resistance changes is included. A complete simulation using MATLAB/Simulink and experimental validation using a laboratory prototype based on the DSP-DS1103 are provided. The analytical, modeling, and measurement results reveal that the suggested observer responds well and provides precise speed estimation in all four quadrants of operation.

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Performance enhancement of sensorless induction motor drive using modified direct torque control techniques for traction application

Cited by 3 publications

References 20 publications

A multimodal multistream multilevel fusion network for finger joint angle estimation with hybrid sEMG and FMG sensing

A multimodal multistream multilevel fusion network for finger joint angle estimation with hybrid sEMG and FMG sensing

Model predictive control for energy efficient AC motor drives: An overview

Sensitivity Analysis of a Stator Current-based MRAS Estimator for Sensorless Induction Motor Drives

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