A comparative study of speed control of D.C. brushless motor using PI and fuzzy controller

Nayak, Sanghamitra; Dutta, Pallav

doi:10.1109/eesco.2015.7253686

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Because of its simple structures, high efficiency, low inertia and high power density, permanent magnet synchronous motor (PMSM) is implemented as variable speed drives in automotive and aircraft industries [4]. The non-linear coupling between its winding current and the rotor speed [5] complicates motorization design.…”

Section: Introductionmentioning

confidence: 99%

Field-oriented control based on adaptive neuro-fuzzy inference system for PMSM dedicated to electric vehicle

Djelamda

Bochareb

2022

Bulletin EEI

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Permanent magnet synchronous motor (PMSM) speed control is generally done using flux-oriented control, which uses conventional proportional-integral (PI) current regulators, but still remain the problem of calculating the coefficients of these regulators, particularly in the case of control hybridization, the development of artificial intelligence has simplified many calculations while giving more accurate, and improved results, this paper presents and compares the performance of the flux oriented control (FOC) of a PMSM powered by pulse width modulation (PWM) using PI regulator, fuzzy logic control (FLC) and adaptive neuro-fuzzy inference system (ANFIS), in this work we present another approach of a neuro ANFIS using the hybrid combination of fuzzy logic and neural networks. This ANFIS is a very powerful tool and can be applied to various engineering problems. To make up for the deficiency of fuzzy logic controller. To understand the performance, characteristics, and influence of each controller on the system response, we use MATLAB/Simulink to model a PMSM (0.5 kW) powered by a three-phase inverter and controlled by the FOC, FOC-FLC, and FOC-ANFIS.

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Section: Introductionmentioning

confidence: 99%

Field-oriented control based on adaptive neuro-fuzzy inference system for PMSM dedicated to electric vehicle

Djelamda

Bochareb

2022

Bulletin EEI

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Field oriented control design of inset rotor PMSM drive

Mukti

Wijanarko

Muqorobin

et al. 2017

AIP Conference Proceedings

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Abstract. The main challenge of PMSM implementation in the adjustable-speed drives especially in automotive industry is to attain the optimal PMSM drive performance. Vector control is proved to be the best method in controlling synchronous machine such as PMSM. This paper objective is to design a speed control system for the manufactured inset rotor PMSM, which integrates the interleaved DC-DC boost converter, inverter, and sinusoidal pulse width modulation and fed by the battery bank DC source. The proposed speed control in this paper employs FOC vector control technique with PI controller which control both converter and inverter independently. This paper investigates the effectiveness of the proposed speed control method for driving the manufactured inset rotor PMSM. To verify the effectiveness of the designed speed control system, computer simulation is conducted. The motor performances are observed in operating condition with disturbance in form of sudden change of load torque . The simulation results show that the control method is stable but the rotor speed still affected by the given disturbance.

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A comparative study of speed control of D.C. brushless motor using PI and fuzzy controller

Cited by 2 publications

References 6 publications

Field-oriented control based on adaptive neuro-fuzzy inference system for PMSM dedicated to electric vehicle

Field-oriented control based on adaptive neuro-fuzzy inference system for PMSM dedicated to electric vehicle

Field oriented control design of inset rotor PMSM drive

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