Application of Fuzzy Controller to Minimize Torque and Flux Ripples of PMSM

Kakouche, Khoudir; Guendouz, W.; Rekioua, Toufik; Mezani, Smaïl; Lubin, T.

doi:10.1109/icaee47123.2019.9015066

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…It marginally decreases torque ripples compared to conventional MPC. Kakouche et al [42] replaces combination of PI and DTC by two fuzzy controllers. It gives good performance compared to PI and DTC.…”

Section: Control Techniquesmentioning

confidence: 99%

Various control methods of permanent magnet synchronous motor drives in electric vehicle: a technical review

Basappa

Viswanathan

2022

TELKOMNIKA

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Day by day use of internal combustion engines (ICE) compared to electric vehicles (EV) is deteriorating because mainly of pollution and their less fuel availability. In the present scenario, an electric vehicle plays a major role in place of an ICE vehicle. So that performance of EV can be improved by proper selection of electric motor. Initially, EV prefers induction motors for traction purposes, but complexity in controlling induction motor, permanent magnet synchronous motor (PMSM) presently used in EV by most of the electric vehicle manufacturers due to its advantages. This paper reviews on various control methods for PMSM used in EV. Various control methods are being used for EV applications. Initially, conventional direct torque control (DTC) technique being used in controlling electric motors but it has a drawback of high torque and flux ripples. Hence, intelligent controllers are predominantly using in controlling PMSM drives.

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Section: Control Techniquesmentioning

confidence: 99%

Various control methods of permanent magnet synchronous motor drives in electric vehicle: a technical review

Basappa

Viswanathan

2022

TELKOMNIKA

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“…Nevertheless, issues with complexity and switching losses appeared. Fuzzy logic and artificial neural networks are also used as artificial intelligence controllers [ 29 , 30 ]. Authors in [ 31 , 32 , 33 , 34 ] have proposed a Model Predictive Direct Torque Control strategy that is based on predicting the control variables such as flux and torque while minimizing the error of the predicted control variables; this improves control accuracy while maintaining the control system’s simplicity.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Direct Torque Control and Fuzzy Logic Energy Management for Multi Power Source Electric Vehicles

Kakouche

Rekioua

Mezani

et al. 2022

Sensors

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This paper proposes a novel Fuzzy-MPDTC control applied to a fuel cell battery electric vehicle whose traction is ensured using a permanent magnet synchronous motor (PMSM). On the traction side, model predictive direct torque control (MPDTC) is used to control PMSM torque, and guarantee minimum torque and current ripples while ensuring satisfactory speed tracking. On the sources side, an energy management strategy (EMS) based on fuzzy logic is proposed, it aims to distribute power over energy sources rationally and satisfy the load power demand. To assess these techniques, a driving cycle under different operating modes, namely cruising, acceleration, idling and regenerative braking is proposed. Real-time simulation is developed using the RT LAB platform and the obtained results match those obtained in numerical simulation using MATLAB/Simulink. The results show a good performance of the whole system, where the proposed MPDTC minimized the torque and flux ripples with 54.54% and 77%, respectively, compared to the conventional DTC and reduced the THD of the PMSM current with 53.37%. Furthermore, the proposed EMS based on fuzzy logic shows good performance and keeps the battery SOC within safe limits under the proposed speed profile and international NYCC driving cycle. These aforementioned results confirm the robustness and effectiveness of the proposed control techniques.

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“…It analyzes the simulation results of speed response, torque response, contrast overshoot, speed comparison of PI and FLC under sudden load changes. Kakouche et al [22] present the PMSM model with minimum flux and torque ripples using the FLC approach. The direct torque control approach replaces the conventional hysteresis controllers with two FLC to reduce the current, flux, and torque ripples.…”

Section: Introductionmentioning

confidence: 99%

Modeling and analysis of field-oriented control based permanent magnet synchronous motor drive system using fuzzy logic controller with speed response improvement

Sahridayan

Gopal²

2022

IJECE

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The permanent magnet synchronous motor (PMSM) acts as an electrical motor mainly used in many diverse applications. The controlling of the PMSM drive is necessary due to frequent usage in various systems. The conventional proportional-integral-derivative (PID) controller’s drawbacks are overcome with fuzzy logic controller (FLC) and adopted in the PMSM drive system. In this manuscript, an efficient field-oriented control (FOC) based PMSM drive system using a fuzzy logic controller (FLC) is modeled to improve the speed and torque response of the PMSM. The PMSM drive system is modeled using abc to αβ and αβ to abc transformation, 2-level space vector pulse width modulation (SVPWM), AC to DC rectifier with an inverter, followed by PMSM drive, <a name="_Hlk107566912"></a>proportional integral (PI) controller along with FLC. The FLC’s improved fuzzy rule set is adopted to provide faster speed response, less % overshoot time, and minimal steady-state error of the PMSM drive system. The simulation results of speed response, torque response, speed error, and phase currents are analyzed. The FLC-based PMSM drive is compared with the conventional PID-based PMSM drive system with better improvements in performance metrics.

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Application of Fuzzy Controller to Minimize Torque and Flux Ripples of PMSM

Cited by 6 publications

References 9 publications

Various control methods of permanent magnet synchronous motor drives in electric vehicle: a technical review

Various control methods of permanent magnet synchronous motor drives in electric vehicle: a technical review

Model Predictive Direct Torque Control and Fuzzy Logic Energy Management for Multi Power Source Electric Vehicles

Modeling and analysis of field-oriented control based permanent magnet synchronous motor drive system using fuzzy logic controller with speed response improvement

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