Modelling of Field Orientation Control (FOC) Method in 120 kW Brushless DC Motor (BLDC)

Fadli, Muhammad; Musyasy, Muhammad Mushthofa; Furqani, Jihad; Purwadi, Agus

doi:10.1109/icevt48285.2019.8993973

Cited by 12 publications

(10 citation statements)

References 3 publications

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“…In the present investigation, the shaft inertia of the LP spool shaft has been arbitrarily assumed, starting from a value of inertia taken from the reference GSP turboshaft model. A plausible value of inertia for the electric drive was assumed on the basis of the data in [46], where an electric motor with the same rated power is described. As previously mentioned, however, such value only has an approximate significance, which should be investigated deeper with a proper design of the coupling devices if a more accurate estimation is needed.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Improving the Dynamic Behavior of a Hybrid Electric Rotorcraft for Urban Air Mobility

et al. 2022

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A rising number of aerospace manufacturers are working on the development of new solutions in the field of Urban Air Mobility with increasing attention addressing electric and hybrid electric propulsive systems. Hybrid electric propulsive systems potentially offer performance improvements during transient maneuvers, as well as sustaining the engine during flight phases characterized by high power demands. Among the challenges of hybridization in rotorcraft, there is the necessity to predict the dynamic behavior and its effect on the control of rotor shaft speed. In the present study, the dynamic behavior of a parallel hybrid electric propulsive system for a coaxial-rotor air taxi is analyzed in response to a typical sequence of pilot commands that encompasses the range of operations from hover to forward flight. The system is modeled with a dynamic approach and includes sub-models for the coaxial rotors, the turboshaft engine, the electric machine, and the battery. The results of the investigation show a better performance during transients of the hybrid system than a conventional turboshaft configuration, especially if the electric contribution to the power request is coordinated to account for the lag due to slower engine dynamic response.

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Section: Sensitivity Analysismentioning

confidence: 99%

Improving the Dynamic Behavior of a Hybrid Electric Rotorcraft for Urban Air Mobility

et al. 2022

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“…It is known that BLDC motors have several advantages, namely BLDC motors have high efficiency, power density and torque density [3], apart from that BLDC motors have easy maintenance and a more compact size [4]. These advantages mentioned make BLDC motors suitable motors for use as electric vehicle drive motors, so they are chosen by many electric vehicle manufacturers [5].…”

Section: Introductionmentioning

confidence: 99%

“…However, BLDC motors are known to have major weaknesses in the form of control methods that are more complicated than other types of DC motors [5]. This is because BLDC motors require switching with the help of power electronic components to keep the BLDC motor rotating [6].…”

Section: Introductionmentioning

confidence: 99%

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Design And Simulation Of 10 kW BLDC Motor Speed Control For Electric Vehicles Using FOC Based On Fuzzy Logic Control

Rizqulloh,

Pamuji,

Suryoatmojo

2024

JAREE

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The use of electric vehicles in the current era has begun to spread evenly. Apart from the issue of air pollution produced by ICE vehicles, the ease and practicality of using electric vehicles is the reason why the public is starting to become interested in electric vehicles. Electric vehicle manufacturers are currently choosing BLDC motors for their production vehicles because they are considered suitable for applications that require high power and torque output. However, BLDC motors require more complicated control techniques than other DC motors. The commonly used BLDC motor speed control methods are trapezoidal scalar control and field oriented control. FOC is a type of BLDC motor control with a vector control method which has advantages in terms of efficiency compared to scalar control methods. Many studies on implementing FOC as speed control for BLDC motors, but the research that has been carried out still uses PI control as a basis, where it is known that PI control has shortcomings in the form of complexity in its design. Fuzzy Logic Control is known to be easy to design and reliable in control, so this paper will show the performance of Fuzzy-PI based FOC control as speed control for 10kW BLDC motor in simulation using Simulink program. The simulation results of proposed Fuzzy-PI based FOC method have better response than PI based FOC in terms of starting response with 6.43 times faster rise time, 2.45 times faster settling time, 96.31% lower overshoot value and reliability in overcoming disturbances up to 78.05% lower overshoot value and 2.33 times faster recovery time.

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“…Many of the work mentioned above are based on past developments on Field Oriented Control (FOC) [9], where in BLDC and PSM motors the original three phase voltage and current is transformed into rotor phase angles, which adds computational load for the controller [10], and may require a more advanced controller Micro Processor Unit (MCU) for such a task.…”

Section: Introductionmentioning

confidence: 99%

Sensorless BLDC motor Sliding Mode Control for Disturbance Rejection on Hand Held Motor Drive

Chang,

Lin,

Chen

2023

Preprint

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This research implemented a full sensor-less Sliding Mode Control (SMC) for a three phase Brushless Direct-Current (BLDC) motor for reduction on disturbance during motor operation. Instead of using hall sensors to provide motor speed feedback, this paper utilized the back counter-ElectroMotive Force (EMF), measured in the motor’s control circuitry, and through the zero-crossing characteristic induced from its operation, a full feedback disturbance rejection is implemented for BLDC motor speed regulation. Experimental results compared this SMC control voltage demonstrated a 30% improvement on recovery time, as well as 25% reduction to the maximum disturbance, along with the traditional PI controllers. A full system identification of the motor parameters are also validated rigorously before selection of the SMC parameters. This result brings benefit of a low cost, firmware only efficient BLDC controller algorithm, that is automated in the Embedded system, for disturbance rejection and can be applied to a vast array of products that entails BLDC motors.

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Modelling of Field Orientation Control (FOC) Method in 120 kW Brushless DC Motor (BLDC)

Cited by 12 publications

References 3 publications

Improving the Dynamic Behavior of a Hybrid Electric Rotorcraft for Urban Air Mobility

Improving the Dynamic Behavior of a Hybrid Electric Rotorcraft for Urban Air Mobility

Design And Simulation Of 10 kW BLDC Motor Speed Control For Electric Vehicles Using FOC Based On Fuzzy Logic Control

Sensorless BLDC motor Sliding Mode Control for Disturbance Rejection on Hand Held Motor Drive

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