Speed Tracking of Field Oriented Control Permanent Magnet Synchronous Motor Using Neural Network

Utomo, Wahyu Mulyo; Zin, Nooradzianie Muhammad; Haron, Zainal Alam; Sim, Sy Yi; Ariff, Roslina Mat; Hanafi, Dirman

doi:10.11591/ijpeds.v4i3.5941

Cited by 6 publications

(6 citation statements)

References 8 publications

(5 reference statements)

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“…where, ∆t is equal to the sampling time T sp . Hence, in (13) present the calculation of the imaginary swapping instant in d-q stationary axis frame based on the calculus of (9).…”

Section: Proposed Dtc Strategy Based Imaginary Swapping Instantmentioning

confidence: 99%

“…An improved approach is presented using five-level cascaded H-bridge (CHB) inverters based DTC control drive in order to reduce torque ripples. In addition, an efficient DTC control strategy based on adaptive artificial neural network (ANN) for electrical motor was presented in [12], [13]. An optimized strategy based on fuzzy logic controller was performed in [14].…”

Section: Introductionmentioning

confidence: 99%

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An enhanced control strategy based imaginary swapping instant for induction motor drives

Rkik

Khayat

Ed-Dahhak

et al. 2022

IJECE

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<p>The main aim of this paper is to present a novel control approach of an induction machine (IM) using an improved space vector modulation based direct torque control (SVM-DTC) on the basis of imaginary swapping instant technique. The improved control strategy is presented to surmount the drawbacks of the classical direct torque control (DTC) and to enhance the dynamic performance of the induction motor. This method requires neither angle identification nor sector determination; the imaginary swapping instant vector is used to fix the effective period in which the power is transferred to the IM. Both the classical DTC method and the suggested adaptive DTC techniques have been carried out in MATLAB/SimulinkTM. Simulation results shows the effectiveness of the enhanced control strategy and demonstrate that torque and flux ripples are massively diminished compared to the conventional DTC (CDTC) which gives a better performance. Finally, the system will also be tested for its robustness against variations in the IM parameters.</p>

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“…where, ∆t is equal to the sampling time T sp . Hence, in (13) present the calculation of the imaginary swapping instant in d-q stationary axis frame based on the calculus of (9).…”

Section: Proposed Dtc Strategy Based Imaginary Swapping Instantmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An enhanced control strategy based imaginary swapping instant for induction motor drives

Rkik

Khayat

Ed-Dahhak

et al. 2022

IJECE

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“…The torque and speed are displayed in Figure 6 and A proportional-integral (PI) controller must be used to remove steady-state error [26]. This error is a result of a comparison between both the measured and reference motor speeds.…”

Section: Space Vector Technique Of Pulse Width Modulationmentioning

confidence: 99%

Speed Control of Permanent Magnet Synchronous Motor Using SVPWM Vector Control

AL-Mansory¹,

Abed²,

AL-Thammer³

2022

Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9

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This article discusses how to regulate the speed of a Permanent Magnet Synchronous Motor (PMSM). Depending on the field-oriented control principle, which is among the most often used AC motor drives accessible in the industry, a new approach to regulating the PMSM using pulse width modulation of space vectors (SVPWM) is suggested. The entire framework is designed on the MATLAB /Simulink platform (vector control). The whole system, using the speed loop outside and the interior current loop, using two control loops are simulated based on synchronous motor speeds using power electronics and microelectronic technology have advanced. The AC servo device for PMSM is applied based on control methods that are used more often.

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“…The difference between the calculated input and the real input power is fed as input for the neural. [26][27][28] The proposed ANN based energy efficiency optimization of DTC EMDS, as shown in Figure 1, where it is targeted to maintain the fast dynamic characteristics and better response, and also aimed in getting minimum losses especially for the light load and light speed drive's operation.…”

Section: Development Of Proposed Ann Based Efficiency Optimization Control Strategymentioning

confidence: 99%

Loss minimization DTC electric motor drive system based on adaptive ANN strategy

Utomo

Goh

et al. 2020

IJPEDS

Self Cite

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Electric motor drive systems (EMDS) have been recognized as one of the most promising motor systems recently due to their low energy consumption and reduced emissions. With only some exceptions, EMDS are the main source for the provision of mechanical energy in industry and accounts for about 60% of global industrial electricity consumption. Large energy efficiency potentials have been identified in EMDS with very short payback time and high-cost effectiveness. Typical, during operation at rated mode, the motor drive able to hold its good efficiencies. However, a motor usually operates out from rated mode in many applications, especially while under light load, it reduced the motor’s efficiency severely. Hence, it is necessary that a conventional drive system to embed with loss minimization strategy to optimize the drive system efficiency over all operation range. Conventionally, the flux value is keeping constantly over the range of operation, where it should be highlighted that for any operating point, the losses could be minimize with the proper adjustment of the flux level to a suitable value at that point. Hence, with the intention to generate an adaptive flux level corresponding to any operating point, especially at light load condition, an online learning Artificial Neural Network (ANN) controller was proposed in this study, to minimize the system losses. The entire proposed strategic drive system would be verified under the MATLAB/Simulink software environment. It is expected that with the proposed online learning Artificial Neural Network controller efficiency optimization algorithm can achieve better energy saving compared with traditional blended strategies.

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Speed Tracking of Field Oriented Control Permanent Magnet Synchronous Motor Using Neural Network

Cited by 6 publications

References 8 publications

An enhanced control strategy based imaginary swapping instant for induction motor drives

An enhanced control strategy based imaginary swapping instant for induction motor drives

Speed Control of Permanent Magnet Synchronous Motor Using SVPWM Vector Control

Loss minimization DTC electric motor drive system based on adaptive ANN strategy

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