Speed Control of BLDC by Using Neutrosophic Fuzzy Logic Controller

Haçat, Gülnur; Çetinceviz, Yücel; Şehirli, Erdal

doi:10.1109/asyu52992.2021.9599021

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…Even though a fuzzy inference system was used to develop a neutrosophic FLC (NFLC) to efficiently implement BLDC motor speed control, it provides better steady-state error and settling time than all other controllers [151]. The FLC system is one that is frequently used to develop the best optimal, effective, and reliable control system for EVs.…”

Section: )Torque Ripples Mitigation Based On Intelligent 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: )Torque Ripples Mitigation Based On Intelligent 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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“…A sensorless speed-controlled PV system powered PMSM driver system based on fuzzy logic controller is reported in one of the studies on topic [22]. In another study [23], a speed control system of brushless direct current motor (BLDC) based on neutrosophic logic is carried out. Vector based control called as field-oriented control (FOC) is used to control speed of BLDC in this study [23].…”

Section: Introductionmentioning

confidence: 99%

“…In another study [23], a speed control system of brushless direct current motor (BLDC) based on neutrosophic logic is carried out. Vector based control called as field-oriented control (FOC) is used to control speed of BLDC in this study [23]. V/f control, vector control, and direct torque control are the most often employed control strategies for PMSMs.…”

Section: Introductionmentioning

confidence: 99%

Neutrosophic Valued PID Controller for Closed Loop V/f Speed Control of Permanent Magnet Synchronous Motor

Haçat

Çetinceviz

2023

NÖHÜ Müh. Bilim. Derg.

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In this article, a neutrophic logic-based closed loop V/f control system has been established by creating a fuzzy inference system and a neutrophic fuzzy logic controller (NFLC) in Matlab. Also, the NFLC-PID block diagram has been established to test in a Simulink environment with permanent magnet synchronous motor (PMSM). The simulation results demonstrate that the neutrosophic fuzzy logic controller managed the PMSM efficiently and successfully.

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Speed Control of BLDC by Using Neutrosophic Fuzzy Logic Controller

Cited by 2 publications

References 10 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

Neutrosophic Valued PID Controller for Closed Loop V/f Speed Control of Permanent Magnet Synchronous Motor

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