Performance comparison of field oriented control based permanent magnet synchronous motor fed by matrix converter using PI and IP speed controllers

Bouazdia, M.; Bouhamida, Mohamed; Taleb, Rachid; Denaï, Mouloud

doi:10.11591/ijeecs.v19.i3.pp1156-1168

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…To enhance the control performance of the system, the fieldoriented control (FOC) scheme is introduced [34]. In this manner, the control process of the PMSM drive system is simplified, resembling that of a DC motor [35]. Consequently, the voltage equation and the electromagnetic torque equation can be reformulated as d d d e q q q q s q q e f u L i u of can be calculated using a current controller.…”

Section: Electromechanical Coupling Dynamics Model Of Tgcs a Mathemat...mentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Robust Stability Control of All-Electrical Tank Gun Compensated by Radial Basis Neural Network

Wang,

Yuan,

Sun

et al. 2023

IEEE Access

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Stability control of the tank gun has emerged as a pivotal issue for moving tank gun control systems (TGCS). As a complex electromechanical integrated system, TGCS of moving tank inevitably possesses significant parametric uncertainties and uncertain nonlinearities. To effectively enhance the stabilization control performance of TGCS, in this study, we introduce an adaptive robust control (ARC) strategy based on radial basis function neural network (RBFNN) compensation. The adaptive technique is employed to address the parametric uncertainties, while the RBFNN is constructed to approximate the uncertain nonlinearities and realize feedforward compensation. Subsequently, to suppress the residual uncertainties, a nonlinear robust feedback control rate is devised to strengthen the robustness of the developed controller. Lyapunov analysis shows that the proposed controller achieves uniform ultimate bounded stability. Extensive simulation and electromechanical experimental results confirm the effectiveness of the proposed controller, which shows outstanding performance in handling strong parametric uncertainties and uncertain nonlinearities.

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Section: Electromechanical Coupling Dynamics Model Of Tgcs a Mathemat...mentioning

confidence: 99%

“…coefficient, while c s  is a known function. Bringing equation(35) into the Taylor expansion of equation(32), we get…”

mentioning

confidence: 99%

Adaptive Robust Stability Control of All-Electrical Tank Gun Compensated by Radial Basis Neural Network

Wang,

Yuan,

Sun

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…By using the PMs, the DC supply for excitation is no longer required. Moreover, eliminating copper from the rotor allows the motor design with smaller rotor diameters resulting in lower rotor inertia [1]- [6]. Two techniques may be used in EV drives to achieve high efficiency and power density.…”

Section: Introductionmentioning

confidence: 99%

In-wheel, outer rotor, permanent magnet synchronous motor design with improved torque density for electric vehicle applications

Bdewi

Ali

Mohammed

2022

IJECE

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In electric vehicle applications, the torque density of electric motor plays an important role in improving the performance of the vehicle. The main objective of this paper is to investigate a possible method for improving the torque density of a permanent magnet synchronous motor used in electric vehicles. At the same time, other machine specifications were taken into account and kept within the acceptable level. This was achieved by incorporating performance enhancement strategies such as investigating ofhigh-efficient winding topology for the motor’s stator to give the highest winding factor and optimizing the machine dimensions to achieve the best performance. MagNet 7.4.1 software package with static and transient finite element method solver was used for implementing the proposed design. The results showed a significant improvement in the torque density with keeping the overall machine performance.

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“…The closed-loop speed regulation and field-oriented control (FOC) modeling of a 3-phase permanentmagnet synchronous machine (PMSM) powered through the corresponding matrix converter (MC) [7]. To increase the input currentquality, the model analyzes a collection of a few input filters of cable influence or supply impedances.…”

Section: Introductionmentioning

confidence: 99%

Hall sensor-based speed control of a 3-phase permanent-magnet synchronous motor using a field-oriented algorithm

Shallal

Salman

Sabry

2022

IJEECS

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To achieve optimum torque per amp, we retain the angle of the stator-current-vector with respect to the rotor-flux at 90 degrees, rather than controlling the amplitude of the stator-current-vector. Without or with the load torque, the proportional integral (PI) controller produced better results in the speed control loop. A controller is required to maintain a consistent speed and improve system performance as the load changes. This work develops an auto-tuning PI speed controller for 3-phase permanent-magn et synchronous motors using field oriented algorithm. The 3-phase voltage from the grid is converted to DC through a transformer and a grid-side rectifier. The DC voltage is converted back into AC through a machine-side inverter, which drives the motor with time-varying loud. The objective of field oriented control (FOC) in this work is to control the semiconductor switches in the machine-side power inverter to achieve the desired torque and flux. The stator-currents are measured and fed into the flux observer to obtain the direct-quadrature-zero (DQ-axis) current, the rotor magn etizing current, and the angle of the synchronously rotating reference frame. The results show that the motor's speed response has an earlier transient response and a less steady-state inaccuracy after tuning the controllers during acceleration and torque load adjustments.

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Performance comparison of field oriented control based permanent magnet synchronous motor fed by matrix converter using PI and IP speed controllers

Cited by 4 publications

References 22 publications

Adaptive Robust Stability Control of All-Electrical Tank Gun Compensated by Radial Basis Neural Network

Adaptive Robust Stability Control of All-Electrical Tank Gun Compensated by Radial Basis Neural Network

In-wheel, outer rotor, permanent magnet synchronous motor design with improved torque density for electric vehicle applications

Hall sensor-based speed control of a 3-phase permanent-magnet synchronous motor using a field-oriented algorithm

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