Advanced Torque and Speed Control Techniques for Induction Motor Drives: A Review

Mencou, Siham; Yakhlef, Majid Ben; Tazi, El Bachir

doi:10.1109/iraset52964.2022.9738368

Cited by 9 publications

(2 citation statements)

References 58 publications

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“…In addition, this control method is mostly used in all manufacturing and industrial settings for controlling the speed required with a low initial current. Scalar control involves a steady-state model of the motor because it controls the stator flux by varying the amplitude of the voltage and frequency to obtain the control torque [65,66]. Scalar control techniques of BLDC motors can be achieved in two categories based on variable supply voltage control and constant voltage/ frequency (V/F) control.…”

Section: A) Scalar-based Controlmentioning

confidence: 99%

Critical Review on Torque Ripple Sources and Mitigation Control Strategies of BLDC Motors in Electric Vehicle Applications

Prabhu,

Thirumalaivasan,

Ashok

2023

IEEE Access

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In recent years, electric vehicles (EVs) have attracted a lot of attention and are rapidly growing trends today due to their ability to compete with and overtake fossil fuel-powered vehicles among all electrified transportation tools. The primary focus of EV evolution is on improving driving range and optimizing energy consumption, both of which are essential demands achieved through improved and developing motor performance. The brushless direct current (BLDC) motor is one of the most superior choices for dynamic applications in EVs, providing the highest power density and capability of any motor. BLDCs are gaining popularity in EVs not only for their high performance in speed and position controls but also for meeting the requirements of smooth torque maintenance with torque ripple mitigation. This paper provides an overview of various advanced control strategies, such as field-oriented control (FOC), direct torque control (DTC), intelligent control (IC), controlling input voltage (CIV), current shaping techniques (CST), model predictive control (MPC), and sliding mode control (SMC). These strategies are used to regulate the torque ripples produced in BLDC motors, aiming to achieve energy-efficient EV performance for various applications. Additionally, it describes a cloud-based control system coupled with electric motor drives to address challenges in predicting current vehicle conditions for improved power distribution between the motor and battery systems. Furthermore, recent concerns and difficulties in advancing torque ripple mitigation control strategies are highlighted, with comparisons and discussions for future EV research. Finally, an evaluative study on BLDC motor drive in EVs with different control strategies reveals its significance and potential outcomes. INDEX TERMS Brushless Direct Current (BLDC) motor, Cloud based torque control, Control structural architecture, Electric Vehicles (EVs), Various control strategies for torque ripple mitigation.

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Section: A) Scalar-based Controlmentioning

confidence: 99%

Critical Review on Torque Ripple Sources and Mitigation Control Strategies of BLDC Motors in Electric Vehicle Applications

Prabhu,

Thirumalaivasan,

Ashok

2023

IEEE Access

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“…In order to increase the control performance of IMs, many intelligent controller structures instead of conventional PI have been proposed in the literature. In Mencou et al (2023), to overcome the limitations of the PI controller used in speed control loop conventional DTC-based IM drives, the fuzzy logic (FL) speed controller is designed. In Kamalapur and Aspalli (2023), a fractional-order fuzzy logic controller (FLC) instead of the PI controller is proposed in the speed control loop, in order to improve the control performance of the DTC-based IM drive.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Controlled IM Drive based on IT2FNN Controller

Demir,

Yildiz,

Gani

2023

Power Electronics and Drives

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In this paper, the predictive torque control (PTC) based induction motor (IM) drive using an interval type-2 fuzzy neural network (IT2FNN) controller in the speed control loop is designed and tested in simulations. The states required for the proposed motor drive are estimated by extended complex Kalman filter (ECKF). The ECKF performs online estimations of stator currents, rotor fluxes, rotor mechanical speed, and rotor resistance. Compared to conventional extended Kalman filter (EKF), which estimates the same states/parameters, the designed ECKF has less computational burden because it does not contain matrix inverse and the matrix dimensions have been reduced. In addition, the rotor resistance estimated by ECKF is updated online to the PTC system. Thus, the performance of the PTC-based IM drive is improved against variations in the rotor resistance, whose value changes with operating conditions such as frequency and temperature. In order to force both the ECKF observer and the proposed IM drive, a challenging scenario containing the wide speed range operation of the IM is designed. Simulation results confirm the performance of the proposed speed-sensorless PTC-based drive that uses an IT2FNN controller in the speed control loop and the estimation performance of the ECKF observer.

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Fuzzy Logic Speed Controller for Robust Direct Torque Control of Induction Motor Drives

Mencou

Yakhlef

Tazi

2023

Lecture Notes in Networks and Systems

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Advanced Torque and Speed Control Techniques for Induction Motor Drives: A Review

Cited by 9 publications

References 58 publications

Critical Review on Torque Ripple Sources and Mitigation Control Strategies of BLDC Motors in Electric Vehicle Applications

Critical Review on Torque Ripple Sources and Mitigation Control Strategies of BLDC Motors in Electric Vehicle Applications

Model Predictive Controlled IM Drive based on IT2FNN Controller

Fuzzy Logic Speed Controller for Robust Direct Torque Control of Induction Motor Drives

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