Direct torque control versus indirect field-oriented control of induction motors for electric vehicle applications

Aktaş, Mustafa; Awaili, Khaled; Ehsani, M.; Arısoy, Ahmet

doi:10.1016/j.jestch.2020.04.002

Cited by 59 publications

(29 citation statements)

References 25 publications

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“…According to the European Renewable Energy Council (EREC) [1], many governments promote EV as an important part of their proposals for technologies required to reduce greenhouse gas emissions in the long term and to improve energy efficiency in the transport sector. In addition to reducing pollution in the environment, the electric vehicle gives good performance in terms of efficiency and torque [2]. The only drawback of electric vehicles is their cost [3].…”

Section: Introductionmentioning

confidence: 99%

Artificial neural networks applied on induction motor drive for an electric vehicle propulsion system

2021

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This article presents an artificial neural network (ANN) for loss minimization of direct torque-controlled induction motor (IM)-driven electric vehicles. The IM drive can consume more power than it needs to be, especially when it is operating under conditions under full load. The proposed architecture and its control strategies use ANN to control the amplitude starting current and save more power. The performance of these controllers was verified by simulation using the MATLAB/SIMULINK package, and the results showed good and high performance in the time domain response and rapid rejection of the system disturbance compared to the conventional proportional-integral derivative (PID) controller. Thus, the core loss of IM greatly reduces, thus improving the efficiency of the driving system. Finally, the experimental results were validated which were highly consistent with the simulation results using the DSPACE MicroLabBox controller.

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Section: Introductionmentioning

confidence: 99%

Artificial neural networks applied on induction motor drive for an electric vehicle propulsion system

2021

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“…The amplitude and frequency of the sinusoidal reference is governed by the controller. A number of methods are proposed for speed control of induction motors, including rotor-flux-oriented control [1,2], vector control [3], direct torque control [4,5], sliding mode control [6], neural network based control methods [7,8] and a model predictive control method [9]. Furthermore, various speed sensorless control methods have been proposed, among them are a method based on DC-link measurements [10], speed measurement based on rotor-slot-related harmonic detection in machine line current [11], field-orientation control with a speed estimation scheme [11] and speed estimation using adaptive nonlinear observers [12] and sliding mode observer [13].…”

Section: Introductionmentioning

confidence: 99%

Online Efficiency Optimization and Speed Sensorless Control of Single-Phase Induction Motors

2021

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Single phase induction motors (SPIM) are widely used in residential and commercial applications. Enhancement of efficiency of SPIMs can lead to huge energy savings. This paper presents a novel mechanical sensorless control method for SPIM drives. In this method, a machine learning algorithm is used to estimate the slip based on the ratio of main and auxiliary winding currents. To enhance the efficiency, the terminal voltage is reduced under light load conditions. The optimal operating voltage is implicitly obtained by equating the ratio of main and auxiliary winding currents to its optimum value. This optimal operating point is first calculated based on the frequency from a lookup table and then updated by using gradient descent algorithm. This way, the optimal operating point is realized despite motor parameter variations. The proposed scheme is suitable for low-power applications where working at different speeds and load torques is demanded, such as ventilation systems and various household appliances. Simulation results are presented to verify the efficacy of the proposed method.

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“…The study of control approaches for induction motor has gained attention due its massive use in electric vehicles and other solution involving electromobility. There are two main strategies used in induction motor control, the first is the direct torque control (DTC) and the second is the indirect field-oriented control (IFOC) [1]. The trend in innovation is the use of advanced controllers, the latest published works highlight that the IFOC is a high performance system, but it does not guarantee robustness in performance and in stability.…”

Section: Introductionmentioning

confidence: 99%

“…The trend in innovation is the use of advanced controllers, the latest published works highlight that the IFOC is a high performance system, but it does not guarantee robustness in performance and in stability. In [1], the authors evaluate the performance between conventional Proportional-Integrative and advanced controllers with DTC and IFOC strategies. The main disadvantage in PI controller is the presence of high overshoot peak that may be reduced with modified PI structures, such as used in [2].…”

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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Direct torque control versus indirect field-oriented control of induction motors for electric vehicle applications

Cited by 59 publications

References 25 publications

Artificial neural networks applied on induction motor drive for an electric vehicle propulsion system

Artificial neural networks applied on induction motor drive for an electric vehicle propulsion system

Online Efficiency Optimization and Speed Sensorless Control of Single-Phase Induction Motors

Structured and Unstructured Robust Control for an Induction Motor

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